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Identifying Biological Knowledge: Three Possible Strategies

Anita de Waard

Disruptive Technologies Director, Elsevier Labs, Amsterdam

Casimir Researcher,

UiL-OTS, Utrecht University

XRCE, Grenoble, 24 September 2009

Overview

Overview

Problem: too much discourse, tools are not yet good enough...

Overview

Problem: too much discourse, tools are not yet good enough...

1. First attempt: allow authors to validate entities

Overview

Problem: too much discourse, tools are not yet good enough...

1. First attempt: allow authors to validate entities

2. Second attempt: discourse analysis

Overview

Problem: too much discourse, tools are not yet good enough...

1. First attempt: allow authors to validate entities

2. Second attempt: discourse analysis

3. Third attempt: collaboration to identify hypotheses

Why Study Biological Discourse?

Why Study Biological Discourse?

- There is too much of it!

Why Study Biological Discourse?

- There is too much of it!

Why Study Biological Discourse?

- There is too much of it!

- Text mining and ‘fact extraction’ techniques are gaining ground to tame thistangle

Why Study Biological Discourse?

- There is too much of it!

- Text mining and ‘fact extraction’ techniques are gaining ground to tame thistangle

- Emerging area of biologicalnatural language processing (BioNLP): subfield of computational linguistics

Why Study Biological Discourse?

- There is too much of it!

- Text mining and ‘fact extraction’ techniques are gaining ground to tame thistangle

- Emerging area of biologicalnatural language processing (BioNLP): subfield of computational linguistics

- Main focus: identifying biological entities (genes, proteins, drugs) and their relationships

Example state of the art: MEDIE

Example state of the art: MEDIE

Alteration of nm23, P53, and S100A4 expression may contribute to the development of gastric

Example state of the art: MEDIE

Previous studies have implicated miR-34a as a tumor suppressor gene whose transcription is activated by p53.

Alteration of nm23, P53, and S100A4 expression may contribute to the development of gastric

Example state of the art: MEDIE

Previous studies have implicated miR-34a as a tumor suppressor gene whose transcription is activated by p53.

Alteration of nm23, P53, and S100A4 expression may contribute to the development of gastric

Add this knowledge during authoring?

First attempt: allow authors to validate entities

Improve time + quality of knowledgebase entry

Improve time + quality of knowledgebase entry

- For database curators: save time and money

Improve time + quality of knowledgebase entry

- For database curators: save time and money

- For authors: lower the threshold to submitting papers with metadata

Improve time + quality of knowledgebase entry

- For database curators: save time and money

- For authors: lower the threshold to submitting papers with metadata

- Structured Digital Abstract: an editorial experiment to increase the reach of online published articles

Improve time + quality of knowledgebase entry

- For database curators: save time and money

- For authors: lower the threshold to submitting papers with metadata

- Structured Digital Abstract: an editorial experiment to increase the reach of online published articles

- SDA encodes in a schema information contained in the article

D-07-02772Testis-specific poly(A) polymerase (TPAP) is a cytoplasmic poly(A) polymerase that is highly expressed in round spermatids. We identified germ cell-specific gene 1 (GSG1) as a TPAP interaction partner protein using yeast two-hybrid and coimmunoprecipitation assays. Subcellular fractionation analysis showed that GSG1 is exclusively localized in the endoplasmic reticulum (ER) of mouse testis where TPAP is also present. In NIH3T3 cells cotransfected with TPAP and GSG1, both proteins colocalize in the ER. Moreover, expression of GSG1 stimulates TPAP targeting to the ER, suggesting that interactions between the two proteins lead to the redistribution of TPAP from the cytosol to the ER.

MINT-6168263:Gsg1 (uniprotkb:Q8R1W2), TPAP (uniprotkb:Q9WVP6) and Calmegin (uniprotkb:P52194) colocalize (MI:0403) by cosedimentation (MI:0027)

MINT-6168204, MINT-6168178:Gsg1 (uniprotkb:Q8R1W2) and TPAP (uniprotkb:Q9WVP6) colocalize (MI:0403) by fluorescence microscopy (MI:0416)

MINT-6167930:Gsg1 (uniprotkb:Q8R1W2) physically interacts (MI:0218) with TPAP (uniprotkb:Q9WVP6) by two-hybrid (MI:0018)

D-07-02772Testis-specific poly(A) polymerase (TPAP) is a cytoplasmic poly(A) polymerase that is highly expressed in round spermatids. We identified germ cell-specific gene 1 (GSG1) as a TPAP interaction partner protein using yeast two-hybrid and coimmunoprecipitation assays. Subcellular fractionation analysis showed that GSG1 is exclusively localized in the endoplasmic reticulum (ER) of mouse testis where TPAP is also present. In NIH3T3 cells cotransfected with TPAP and GSG1, both proteins colocalize in the ER. Moreover, expression of GSG1 stimulates TPAP targeting to the ER, suggesting that interactions between the two proteins lead to the redistribution of TPAP from the cytosol to the ER.

MINT-6168263:Gsg1 (uniprotkb:Q8R1W2), TPAP (uniprotkb:Q9WVP6) and Calmegin (uniprotkb:P52194) colocalize (MI:0403) by cosedimentation (MI:0027)

MINT-6168204, MINT-6168178:Gsg1 (uniprotkb:Q8R1W2) and TPAP (uniprotkb:Q9WVP6) colocalize (MI:0403) by fluorescence microscopy (MI:0416)

MINT-6167930:Gsg1 (uniprotkb:Q8R1W2) physically interacts (MI:0218) with TPAP (uniprotkb:Q9WVP6) by two-hybrid (MI:0018)

D-07-02772Testis-specific poly(A) polymerase (TPAP) is a cytoplasmic poly(A) polymerase that is highly expressed in round spermatids. We identified germ cell-specific gene 1 (GSG1) as a TPAP interaction partner protein using yeast two-hybrid and coimmunoprecipitation assays. Subcellular fractionation analysis showed that GSG1 is exclusively localized in the endoplasmic reticulum (ER) of mouse testis where TPAP is also present. In NIH3T3 cells cotransfected with TPAP and GSG1, both proteins colocalize in the ER. Moreover, expression of GSG1 stimulates TPAP targeting to the ER, suggesting that interactions between the two proteins lead to the redistribution of TPAP from the cytosol to the ER.

MINT-6168263:Gsg1 (uniprotkb:Q8R1W2), TPAP (uniprotkb:Q9WVP6) and Calmegin (uniprotkb:P52194) colocalize (MI:0403) by cosedimentation (MI:0027)

MINT-6168204, MINT-6168178:Gsg1 (uniprotkb:Q8R1W2) and TPAP (uniprotkb:Q9WVP6) colocalize (MI:0403) by fluorescence microscopy (MI:0416)

MINT-6167930:Gsg1 (uniprotkb:Q8R1W2) physically interacts (MI:0218) with TPAP (uniprotkb:Q9WVP6) by two-hybrid (MI:0018)

D-07-02772Testis-specific poly(A) polymerase (TPAP) is a cytoplasmic poly(A) polymerase that is highly expressed in round spermatids. We identified germ cell-specific gene 1 (GSG1) as a TPAP interaction partner protein using yeast two-hybrid and coimmunoprecipitation assays. Subcellular fractionation analysis showed that GSG1 is exclusively localized in the endoplasmic reticulum (ER) of mouse testis where TPAP is also present. In NIH3T3 cells cotransfected with TPAP and GSG1, both proteins colocalize in the ER. Moreover, expression of GSG1 stimulates TPAP targeting to the ER, suggesting that interactions between the two proteins lead to the redistribution of TPAP from the cytosol to the ER.

MINT-6168263:Gsg1 (uniprotkb:Q8R1W2), TPAP (uniprotkb:Q9WVP6) and Calmegin (uniprotkb:P52194) colocalize (MI:0403) by cosedimentation (MI:0027)

MINT-6168204, MINT-6168178:Gsg1 (uniprotkb:Q8R1W2) and TPAP (uniprotkb:Q9WVP6) colocalize (MI:0403) by fluorescence microscopy (MI:0416)

MINT-6167930:Gsg1 (uniprotkb:Q8R1W2) physically interacts (MI:0218) with TPAP (uniprotkb:Q9WVP6) by two-hybrid (MI:0018)

D-07-02772Testis-specific poly(A) polymerase (TPAP) is a cytoplasmic poly(A) polymerase that is highly expressed in round spermatids. We identified germ cell-specific gene 1 (GSG1) as a TPAP interaction partner protein using yeast two-hybrid and coimmunoprecipitation assays. Subcellular fractionation analysis showed that GSG1 is exclusively localized in the endoplasmic reticulum (ER) of mouse testis where TPAP is also present. In NIH3T3 cells cotransfected with TPAP and GSG1, both proteins colocalize in the ER. Moreover, expression of GSG1 stimulates TPAP targeting to the ER, suggesting that interactions between the two proteins lead to the redistribution of TPAP from the cytosol to the ER.

MINT-6168263:Gsg1 (uniprotkb:Q8R1W2), TPAP (uniprotkb:Q9WVP6) and Calmegin (uniprotkb:P52194) colocalize (MI:0403) by cosedimentation (MI:0027)

MINT-6168204, MINT-6168178:Gsg1 (uniprotkb:Q8R1W2) and TPAP (uniprotkb:Q9WVP6) colocalize (MI:0403) by fluorescence microscopy (MI:0416)

MINT-6167930:Gsg1 (uniprotkb:Q8R1W2) physically interacts (MI:0218) with TPAP (uniprotkb:Q9WVP6) by two-hybrid (MI:0018)

How? Word Plugin

5

How? Word Plugin

- Okkam4MsW: a Microsoft Word plugin interact with Web Services performing NLP and semantic technologies to detect entities and contextual information

- The OKKAM repository is queried to get the right OKKAM id and alternative ids (UniProt in this case)

5

How? Word Plugin

- Okkam4MsW: a Microsoft Word plugin interact with Web Services performing NLP and semantic technologies to detect entities and contextual information

- The OKKAM repository is queried to get the right OKKAM id and alternative ids (UniProt in this case)

5

OKKAM Entity Editor in MS Word

OKKAM Entity Editor in MS Word

OKKAM Entity Editor in MS Word

OKKAM Entity Editor in MS Word

http://sig.ma

Second attempt:

discourse analysis

What else is wrong with MEDIE?

What else is wrong with MEDIE?

Alteration of nm23, P53, and S100A4 expression may contribute to the development of gastric

What else is wrong with MEDIE?

Previous studies have implicated miR-34a as a tumor suppressor gene whose transcription is activated by p53.

Alteration of nm23, P53, and S100A4 expression may contribute to the development of gastric

What else is wrong with MEDIE?

Previous studies have implicated miR-34a as a tumor suppressor gene whose transcription is activated by p53.

Alteration of nm23, P53, and S100A4 expression may contribute to the development of gastric

without some idea of the status of the sentence, it cannot be interpreted!

Discourse Analysis

Discourse AnalysisUnderlying model of text mining systems:

- Scientific paper is ‘statement of pertinent facts’

- So: finding entities and relationships will give you a summary of the knowledge within the paper

- However, information extracted this way is not very useful....

Discourse AnalysisUnderlying model of text mining systems:

- Scientific paper is ‘statement of pertinent facts’

- So: finding entities and relationships will give you a summary of the knowledge within the paper

- However, information extracted this way is not very useful....

Proposed approach: treat scientific paper as a persuasive text: specific genre, with genre characteristics and allowed persuasive techniques:

- ‘these results suggest’ (depersonification)

- ‘as fig. 2a shows’ (evidence is in the data)

- ‘oncogenes produce a stress response [Serrano, 2003]’

References and data form a “folded array of successive defense lines, behind which scientists ensconce themselves” (Latour, 1986)

Overall Research Questions

Overall Research Questions

i. How can we model the discourse/suasive moves in a biological paper?

Overall Research Questions

i. How can we model the discourse/suasive moves in a biological paper?

ii. Can this model help enable automated epistemic markup?

Overall Research Questions

i. How can we model the discourse/suasive moves in a biological paper?

ii. Can this model help enable automated epistemic markup?

iii. Can it improve knowledge representations of collections of papers?

Discourse analysis

Discourse analysis

Segmentation and classification:

Discourse analysis

Segmentation and classification:

1. Parse text into discourse segments (edu’s) containing a single rhetorical move (if possible...)

Discourse analysis

Segmentation and classification:

1. Parse text into discourse segments (edu’s) containing a single rhetorical move (if possible...)

2. Determine categories or types of discourse segments that have similar semantic/pragmatic properties

Discourse analysis

Segmentation and classification:

1. Parse text into discourse segments (edu’s) containing a single rhetorical move (if possible...)

2. Determine categories or types of discourse segments that have similar semantic/pragmatic properties

3. Look at a number of linguistic characteristics and see if these segment types share those characteristics.

Segmentation

Segmentation

Goal: ‘one new thought per segment’:

Figure 4A shows that following RASV12 stimulation, p53 was stabilized and activated, and its target gene, p21cip1, was induced in all cases, indicating an intact p53 pathway in these cells.

Segmentation

Goal: ‘one new thought per segment’:

a. Figure 4a shows thatb. following RASV12 stimulationc. p53 was stabilized and activatedd. and the target gene, p21cip1, was induced in all cases,e. indicating an intact p53 pathway in these cells.

Figure 4A shows that following RASV12 stimulation, p53 was stabilized and activated, and its target gene, p21cip1, was induced in all cases, indicating an intact p53 pathway in these cells.

Segmentation

Goal: ‘one new thought per segment’:

a. Figure 4a shows thatb. following RASV12 stimulationc. p53 was stabilized and activatedd. and the target gene, p21cip1, was induced in all cases,e. indicating an intact p53 pathway in these cells.

Figure 4A shows that following RASV12 stimulation, p53 was stabilized and activated, and its target gene, p21cip1, was induced in all cases, indicating an intact p53 pathway in these cells.

IntratextualMethod

Result Result

Implication

Segmentation

Goal: ‘one new thought per segment’:

a. Figure 4a shows thatb. following RASV12 stimulationc. p53 was stabilized and activatedd. and the target gene, p21cip1, was induced in all cases,e. indicating an intact p53 pathway in these cells.

Figure 4A shows that following RASV12 stimulation, p53 was stabilized and activated, and its target gene, p21cip1, was induced in all cases, indicating an intact p53 pathway in these cells.

IntratextualMethod

Result Result

Implication

Segmentation

Goal: ‘one new thought per segment’:

Segment Types

Segment TypesSegment Description Example

Fact a known fact, generally without explicit citation

mature miR-373 is a homolog of miR-372

Hypothesis a proposed idea, not supported by evidence

This could for instance be a result of high mdm2 levels

Problem unresolved, contradictory, or unclear issue

However, further investigation is required to demonstrate the exact mechanism of LATS2 actionGoal research goal To identify novel functions of miRNAs,

Method experimental method Using fluorescence microscopy and luciferase assays,

Result a restatement of the outcome of an experiment

all constructs yielded high expression levels of mature miRNAs

Implication an interpretation of the results, in light of earlier hypotheses and facts

our procedure is sensitive enough to detect mild growth differences

Segment TypesSegment Description Example

Fact a known fact, generally without explicit citation

mature miR-373 is a homolog of miR-372

Hypothesis a proposed idea, not supported by evidence

This could for instance be a result of high mdm2 levels

Problem unresolved, contradictory, or unclear issue

However, further investigation is required to demonstrate the exact mechanism of LATS2 actionGoal research goal To identify novel functions of miRNAs,

Method experimental method Using fluorescence microscopy and luciferase assays,

Result a restatement of the outcome of an experiment

all constructs yielded high expression levels of mature miRNAs

Implication an interpretation of the results, in light of earlier hypotheses and facts

our procedure is sensitive enough to detect mild growth differences

‘Other-segments’, related to (referenced) other work:

Segment TypesSegment Description Example

Fact a known fact, generally without explicit citation

mature miR-373 is a homolog of miR-372

Hypothesis a proposed idea, not supported by evidence

This could for instance be a result of high mdm2 levels

Problem unresolved, contradictory, or unclear issue

However, further investigation is required to demonstrate the exact mechanism of LATS2 actionGoal research goal To identify novel functions of miRNAs,

Method experimental method Using fluorescence microscopy and luciferase assays,

Result a restatement of the outcome of an experiment

all constructs yielded high expression levels of mature miRNAs

Implication an interpretation of the results, in light of earlier hypotheses and facts

our procedure is sensitive enough to detect mild growth differences

‘Other-segments’, related to (referenced) other work:

Regulatory segments, acting as matrix sentences framing other segments:

Linguistic and structural properties

Linguistic and structural properties

Linguistic and structural properties1. Position in text

- Section of the paper (Introduction, Results, Discussion)

- Beginning/middle/end of section

- First/second/third part of sentence

Linguistic and structural properties1. Position in text

- Section of the paper (Introduction, Results, Discussion)

- Beginning/middle/end of section

- First/second/third part of sentence

2. Verb:

- Tense, aspect, voice

- Verb class: Thing (increase), Thing-Thing (inhibit), Person-Thing (examine, observe, operate, implicate), Person: Report

- Lexicon

Linguistic and structural properties1. Position in text

- Section of the paper (Introduction, Results, Discussion)

- Beginning/middle/end of section

- First/second/third part of sentence

2. Verb:

- Tense, aspect, voice

- Verb class: Thing (increase), Thing-Thing (inhibit), Person-Thing (examine, observe, operate, implicate), Person: Report

- Lexicon

3. Metadiscourse markers [Hyland, 2003]:

- Connectives

- Endophorics, Evidentials

- Hedges, Boosters

- Person markers

Results: Section and Sequence

Results: Section and Sequence

1. Voorhoeve, 2006: Cell - 427 segments

Results: Section and Sequence

1. Voorhoeve, 2006: Cell - 427 segments

2. Louiseau, 2008: European Neuropsychopharmacology - 281 segments

Results: Section and Sequence

1. Voorhoeve, 2006: Cell - 427 segments

2. Louiseau, 2008: European Neuropsychopharmacology - 281 segments

- Introduction (90): Other-Result (24), Other-Implication (11), Problem (9), Fact (8)

Results: Section and Sequence

1. Voorhoeve, 2006: Cell - 427 segments

2. Louiseau, 2008: European Neuropsychopharmacology - 281 segments

- Introduction (90): Other-Result (24), Other-Implication (11), Problem (9), Fact (8)

- Result (334): Goal (26) -> Method (68) -> Result (105) -> Reg-Implication (23) ->Implication (50)

Results: Section and Sequence

1. Voorhoeve, 2006: Cell - 427 segments

2. Louiseau, 2008: European Neuropsychopharmacology - 281 segments

- Introduction (90): Other-Result (24), Other-Implication (11), Problem (9), Fact (8)

- Result (334): Goal (26) -> Method (68) -> Result (105) -> Reg-Implication (23) ->Implication (50)

- Discussion (187):Implication (27), Result (21), Other-Result (24), Hypothesis (19), Problem (17)

Results: Verb Tense

Results: Verb Tense

- Realm of the Present: Fact (82%), Hypothesis (71%), Implication (62%)

Results: Verb Tense

- Realm of the Present: Fact (82%), Hypothesis (71%), Implication (62%)

- Realm of the Past: Result (82%), Method (76%) - 50% Passive, of Method 50% Past Perfect

Results: Verb Tense

- Realm of the Present: Fact (82%), Hypothesis (71%), Implication (62%)

- Realm of the Past: Result (82%), Method (76%) - 50% Passive, of Method 50% Past Perfect

- Realm of the Modal: 44% in Hypothesis

Results: Verb Tense

- Realm of the Present: Fact (82%), Hypothesis (71%), Implication (62%)

- Realm of the Past: Result (82%), Method (76%) - 50% Passive, of Method 50% Past Perfect

- Realm of the Modal: 44% in Hypothesis

- Realm of the To-Infinitive: 50% is Goal, 75% of Goal is to-infinitive (Purpose Clause)

Results: Verb Type

Results: Verb Type

- Thing - Thing: high in experimental (Method, Result) and conceptual (Problem, Hypothesis, Fact, Implication) segments:

‣ Need to differentiate between ‘concept’ things and ‘experimental’ things!

Results: Verb Type

- Thing - Thing: high in experimental (Method, Result) and conceptual (Problem, Hypothesis, Fact, Implication) segments:

‣ Need to differentiate between ‘concept’ things and ‘experimental’ things!

- Person - Implicate: high in Hypothesis, Implication, Problem

Results: Verb Type

- Thing - Thing: high in experimental (Method, Result) and conceptual (Problem, Hypothesis, Fact, Implication) segments:

‣ Need to differentiate between ‘concept’ things and ‘experimental’ things!

- Person - Implicate: high in Hypothesis, Implication, Problem

- Person - Operate: high in Methods (90%)

Results: Verb Type

- Thing - Thing: high in experimental (Method, Result) and conceptual (Problem, Hypothesis, Fact, Implication) segments:

‣ Need to differentiate between ‘concept’ things and ‘experimental’ things!

- Person - Implicate: high in Hypothesis, Implication, Problem

- Person - Operate: high in Methods (90%)

- Person - Examine: high in Goal (87%)

Results: Metadiscourse Markers

Results: Metadiscourse Markers

- Causitive: high in Implications (therefore, thus),

- Comparison: high in Results (whereas, in contrast),

- Temporality: high in Methods (next, subsequently)

- Person markers: high in Methods (50%) and Results

- Boosters: high in Results (indeed, surprisingly, interestingly)

- Hedges: high in Implication, Reg-Implication (raises the possibility that, explains at least in part)

- but modals and ‘suggest’ verbs are left out

Discourse as a Fact-oryhypothesis

fact fact fact

problem

i. How can we model the discourse moves in a biological paper?

goalto

Discourse as a Fact-oryhypothesis

fact fact fact

problem

i. How can we model the discourse moves in a biological paper?

goalto

Discourse as a Fact-oryhypothesis

fact fact fact

problem

i. How can we model the discourse moves in a biological paper?

goalto

wemethod

resultresulting in

Discourse as a Fact-oryhypothesis

fact fact fact

problem

i. How can we model the discourse moves in a biological paper?

goalto

wemethod

resultresulting in

Discourse as a Fact-oryhypothesis

fact fact fact

problem

i. How can we model the discourse moves in a biological paper?

goalto

wemethod

resultresulting in

Discourse as a Fact-ory

suggests that

implication

discussion

hypothesis

fact fact fact

problem

i. How can we model the discourse moves in a biological paper?

goalto

wemethod

resultresulting in

Discourse as a Fact-ory

suggests that

implication

discussion

hypothesis

fact fact fact

problem

i. How can we model the discourse moves in a biological paper?

goalto

wemethod

resultresulting in

Discourse as a Fact-ory

suggests that

implication

discussion

hypothesis

fact fact fact

problem

introduction

i. How can we model the discourse moves in a biological paper?

goalto

wemethod

resultresulting in

Discourse as a Fact-ory

suggests that

implication

discussion

hypothesis

fact fact fact

problem

introduction

results

i. How can we model the discourse moves in a biological paper?

goalto

wemethod

resultresulting in

Discourse as a Fact-ory

suggests that

implication

discussion

hypothesis

fact fact fact

problem

introduction

results

discussion

i. How can we model the discourse moves in a biological paper?

goalto

wemethod

resultresulting in

Discourse as a Fact-ory

suggests that

implication

discussion

Own viewShared view

hypothesis

fact fact fact

problem

introduction

results

discussion

i. How can we model the discourse moves in a biological paper?

goalto

hypothetical realm: (might, would)

realm of activity: (to test, to see)

realm of models: present

realm of experience:

past

wemethod

resultresulting in

Discourse as a Fact-ory

suggests that

implication

discussion

Own viewShared view

hypothesis

fact fact fact

problem

introduction

results

discussion

i. How can we model the discourse moves in a biological paper?

ii. Is this useful for enabling automated epistemic markup?

ii. Is this useful for enabling automated epistemic markup?

✓ first efforts seem promising: simple markers (‘suggest’ verbs, connectives, etc.) already help:

ii. Is this useful for enabling automated epistemic markup?

✓ first efforts seem promising: simple markers (‘suggest’ verbs, connectives, etc.) already help:

6> It is thus emerging that A_1-42-induced memory deficits may involve subtler neuronal alternations leading to synaptic deficits, prior to frank neurodegeneration in AD brains.

ii. Is this useful for enabling automated epistemic markup?

✓ first efforts seem promising: simple markers (‘suggest’ verbs, connectives, etc.) already help:

6> It is thus emerging that A_1-42-induced memory deficits may involve subtler neuronal alternations leading to synaptic deficits, prior to frank neurodegeneration in AD brains.TRIPLET(that A_1_GENE:+ - 42 - induced memory deficits,involve,subtler neuronal alternations)

ii. Is this useful for enabling automated epistemic markup?

✓ first efforts seem promising: simple markers (‘suggest’ verbs, connectives, etc.) already help:

6> It is thus emerging that A_1-42-induced memory deficits may involve subtler neuronal alternations leading to synaptic deficits, prior to frank neurodegeneration in AD brains.TRIPLET(that A_1_GENE:+ - 42 - induced memory deficits,involve,subtler neuronal alternations)

ii. Is this useful for enabling automated epistemic markup?

✓ first efforts seem promising: simple markers (‘suggest’ verbs, connectives, etc.) already help:

6> It is thus emerging that A_1-42-induced memory deficits may involve subtler neuronal alternations leading to synaptic deficits, prior to frank neurodegeneration in AD brains.TRIPLET(that A_1_GENE:+ - 42 - induced memory deficits,involve,subtler neuronal alternations)

‣ issue: segment parsing is difficult!

ii. Is this useful for enabling automated epistemic markup?

✓ first efforts seem promising: simple markers (‘suggest’ verbs, connectives, etc.) already help:

6> It is thus emerging that A_1-42-induced memory deficits may involve subtler neuronal alternations leading to synaptic deficits, prior to frank neurodegeneration in AD brains.TRIPLET(that A_1_GENE:+ - 42 - induced memory deficits,involve,subtler neuronal alternations)

‣ issue: segment parsing is difficult!

‣ issue: verb tense is not always accessible

ii. Is this useful for enabling automated epistemic markup?

✓ first efforts seem promising: simple markers (‘suggest’ verbs, connectives, etc.) already help:

6> It is thus emerging that A_1-42-induced memory deficits may involve subtler neuronal alternations leading to synaptic deficits, prior to frank neurodegeneration in AD brains.TRIPLET(that A_1_GENE:+ - 42 - induced memory deficits,involve,subtler neuronal alternations)

‣ issue: segment parsing is difficult!

‣ issue: verb tense is not always accessible

‣ bionlp: not that much work on full text, since commercial publishers are difficult :-)!

ii. Is this useful for enabling automated epistemic markup?

✓ first efforts seem promising: simple markers (‘suggest’ verbs, connectives, etc.) already help:

6> It is thus emerging that A_1-42-induced memory deficits may involve subtler neuronal alternations leading to synaptic deficits, prior to frank neurodegeneration in AD brains.TRIPLET(that A_1_GENE:+ - 42 - induced memory deficits,involve,subtler neuronal alternations)

‣ issue: segment parsing is difficult!

‣ issue: verb tense is not always accessible

‣ bionlp: not that much work on full text, since commercial publishers are difficult :-)!

‣ possible challenge at biolink 2011: watch this space...

Concepts

KnownFact KnownFact

Concepts

KnownFact KnownFact

Hypothesis

To investigate the possibility that miR-372 and miR-373 suppress the

expression of LATS2, we...

Concepts

KnownFact KnownFact

Experiment 1

Goal

Result

Data

Method

Hypothesis

To investigate the possibility that miR-372 and miR-373 suppress the

expression of LATS2, we...

Concepts

KnownFact KnownFact

Experiment 1

Goal

Result

Data

Method

Hypothesis

To investigate the possibility that miR-372 and miR-373 suppress the

expression of LATS2, we...

Implication

Therefore, these results point toLATS2 as a mediator of the miR-372 and miR-373 effects on cell proliferation and tumorigenicity,

Concepts

KnownFact KnownFact

Experiment 1

Goal

Result

Data

Method

Hypothesis

To investigate the possibility that miR-372 and miR-373 suppress the

expression of LATS2, we...

Implication

Therefore, these results point toLATS2 as a mediator of the miR-372 and miR-373 effects on cell proliferation and tumorigenicity,

Voorhoeve, 2006

Concepts

KnownFact KnownFact

Experiment 1

Goal

Result

Data

Method

Goal

Experiment 2

Data

Method Result

Hypothesis

To investigate the possibility that miR-372 and miR-373 suppress the

expression of LATS2, we...

Implication

Therefore, these results point toLATS2 as a mediator of the miR-372 and miR-373 effects on cell proliferation and tumorigenicity,

Voorhoeve, 2006

Concepts

KnownFact KnownFact

Experiment 1

Goal

Result

Data

Method

Goal

Experiment 2

Data

Method Result

Hypothesis

To investigate the possibility that miR-372 and miR-373 suppress the

expression of LATS2, we...

Implication

Therefore, these results point toLATS2 as a mediator of the miR-372 and miR-373 effects on cell proliferation and tumorigenicity,

Fact

two miRNAs, miRNA-372 and-373, function as potential novel oncogenes in testicular germ cell

tumors by inhibition of LATS2 expression, which suggests that Lats2 is an important tumor

suppressor (Voorhoeve et al., 2006).

Raver-Shapira et.al, JMolCell 2007

Voorhoeve, 2006

Concepts

KnownFact KnownFact

Experiment 1

Goal

Result

Data

Method

Goal

Experiment 2

Data

Method Result

Hypothesis

To investigate the possibility that miR-372 and miR-373 suppress the

expression of LATS2, we...

Implication

Therefore, these results point toLATS2 as a mediator of the miR-372 and miR-373 effects on cell proliferation and tumorigenicity,

Fact

two miRNAs, miRNA-372 and-373, function as potential novel oncogenes in testicular germ cell

tumors by inhibition of LATS2 expression, which suggests that Lats2 is an important tumor

suppressor (Voorhoeve et al., 2006).

Raver-Shapira et.al, JMolCell 2007

miR-372 and miR-373 target the Lats2 tumor suppressor (Voorhoeve et al., 2006)

Yabuta, JBioChem 2007

Voorhoeve, 2006

Fact creation vs. Latour (1986)

Fact creation vs. Latour (1986)

Future research:

Future research:

‣ Need co-annotators to verify semantic types

Future research:

‣ Need co-annotators to verify semantic types

‣ Need to scale up with more (types of) texts!

Future research:

‣ Need co-annotators to verify semantic types

‣ Need to scale up with more (types of) texts!

I. How is a scientific fact created, as it moves from a hedged claim to a throughout successive citations?

Future research:

‣ Need co-annotators to verify semantic types

‣ Need to scale up with more (types of) texts!

I. How is a scientific fact created, as it moves from a hedged claim to a throughout successive citations?

II. Can we identify a rhetorically successful text, using these segments and characteristics?

Future research:

‣ Need co-annotators to verify semantic types

‣ Need to scale up with more (types of) texts!

I. How is a scientific fact created, as it moves from a hedged claim to a throughout successive citations?

II. Can we identify a rhetorically successful text, using these segments and characteristics?

III. Can we help authors create such texts (guidelines, tools?

Third attempt:

collaboration!

Improve ‘what is claimed about an entity’

insulin ::: GB000841

maintaining glucose homeostasis

... diabetes defect) to overcome insulin resistance in maintaining glucose homeostasis, hyperglycemia and glucose intolerance ...improve glucose

homeostasis... in T2D is able to increase insulin secretion and improve glucose homeostasis.

improves glucose homeostasis

... SIRT1, whose administration to insulin-resistant animals improves glucose homeostasis.

is capable glucose homeostasis

S15511 is a novel insulin sensitizer that is capable of improving glucose homeostasis in nondiabetic rats.

maintains glucose homeostasis

Pancreatic beta-cells possess a well-regulated insulin secretory property that maintains systemic glucose homeostasis.

may be involved

glucose homeostasis

... similar way to those of insulin, PANDER may be involved in glucose homeostasis.

participates glucose homeostasis

Fine-tuning of insulin secretion from pancreatic beta-cells participates in blood glucose homeostasis.

Improve ‘what is claimed about an entity’

insulin ::: GB000841

maintaining glucose homeostasis

... diabetes defect) to overcome insulin resistance in maintaining glucose homeostasis, hyperglycemia and glucose intolerance ...improve glucose

homeostasis... in T2D is able to increase insulin secretion and improve glucose homeostasis.

improves glucose homeostasis

... SIRT1, whose administration to insulin-resistant animals improves glucose homeostasis.

is capable glucose homeostasis

S15511 is a novel insulin sensitizer that is capable of improving glucose homeostasis in nondiabetic rats.

maintains glucose homeostasis

Pancreatic beta-cells possess a well-regulated insulin secretory property that maintains systemic glucose homeostasis.

may be involved

glucose homeostasis

... similar way to those of insulin, PANDER may be involved in glucose homeostasis.

participates glucose homeostasis

Fine-tuning of insulin secretion from pancreatic beta-cells participates in blood glucose homeostasis.

When insulin secretion cannot be increased adequately (type I diabetes defect) to overcome insulin resistance in maintaining glucose homeostasis, hyperglycemia and glucose intolerance ensues. Insulin resistance and glucose intolerance has been well recognized in patients with advanced chronic kidney diseases (CKD).

.. Incretin metabolism is abnormal in T2D, evidenced by a decreased incretin effect, reduction in nutrient-mediated secretion of GIP and GLP-1 in T2D, and resistance to GIP. GLP-1, on the other hand, when administered intravenously in T2D is able to increase insulin secretion and improve glucose homeostasis.

SIRT1, a NAD(+)-dependent protein deacetylase that regulates transcription factors involved in key cellular processes, has been implicated as a mediator of the beneficial effects of calorie restriction. In a recent issue of Nature, Milne et al. (2007) describe novel potent activators of SIRT1, whose administration to insulin-resistant animals improves glucose homeostasis.

S15511 is a novel insulin sensitizer that is capable of improving glucose homeostasis in nondiabetic rats.... However, the mechanisms behind the insulin-sensitizing effect of S15511 are unknown. The aim of our study was to explore whether S15511 improves insulin sensitivity in skeletal muscles. S15511 treatment was associated with an increase in insulin-stimulated glucose transport in type IIb fibers, while type I fibers were unaffected. Pancreatic beta-cells possess a well-regulated insulin secretory property that maintains systemic glucose homeostasis. Although it has long been thought that differentiated beta-cells are nearly static, recent studies have shown that beta-cell mass dynamically changes throughout the lifetime. In this article, recent progress of regenerative medicine of the pancreas is reviewed.... Our results showed that glucose up-regulated PANDER mRNA and protein levels in a time- and dose-dependent manner in MIN6 cells and pancreatic islets. ...Because PANDER is expressed by pancreatic beta-cells and in response to glucose in a similar way to those of insulin, PANDER may be involved in glucose homeostasis.

Fine-tuning of insulin secretion from pancreatic beta-cells participates in blood glucose homeostasis. ... Our data identify miR124a and miR96 as novel regulators of the expression of proteins playing a critical role in insulin exocytosis and in the release of other hormones and neurotransmitters.

Improve ‘what is claimed about an entity’

insulin ::: GB000841

maintaining glucose homeostasis

... diabetes defect) to overcome insulin resistance in maintaining glucose homeostasis, hyperglycemia and glucose intolerance ...improve glucose

homeostasis... in T2D is able to increase insulin secretion and improve glucose homeostasis.

improves glucose homeostasis

... SIRT1, whose administration to insulin-resistant animals improves glucose homeostasis.

is capable glucose homeostasis

S15511 is a novel insulin sensitizer that is capable of improving glucose homeostasis in nondiabetic rats.

maintains glucose homeostasis

Pancreatic beta-cells possess a well-regulated insulin secretory property that maintains systemic glucose homeostasis.

may be involved

glucose homeostasis

... similar way to those of insulin, PANDER may be involved in glucose homeostasis.

participates glucose homeostasis

Fine-tuning of insulin secretion from pancreatic beta-cells participates in blood glucose homeostasis.

When insulin secretion cannot be increased adequately (type I diabetes defect) to overcome insulin resistance in maintaining glucose homeostasis, hyperglycemia and glucose intolerance ensues. Insulin resistance and glucose intolerance has been well recognized in patients with advanced chronic kidney diseases (CKD).

.. Incretin metabolism is abnormal in T2D, evidenced by a decreased incretin effect, reduction in nutrient-mediated secretion of GIP and GLP-1 in T2D, and resistance to GIP. GLP-1, on the other hand, when administered intravenously in T2D is able to increase insulin secretion and improve glucose homeostasis.

SIRT1, a NAD(+)-dependent protein deacetylase that regulates transcription factors involved in key cellular processes, has been implicated as a mediator of the beneficial effects of calorie restriction. In a recent issue of Nature, Milne et al. (2007) describe novel potent activators of SIRT1, whose administration to insulin-resistant animals improves glucose homeostasis.

S15511 is a novel insulin sensitizer that is capable of improving glucose homeostasis in nondiabetic rats.... However, the mechanisms behind the insulin-sensitizing effect of S15511 are unknown. The aim of our study was to explore whether S15511 improves insulin sensitivity in skeletal muscles. S15511 treatment was associated with an increase in insulin-stimulated glucose transport in type IIb fibers, while type I fibers were unaffected. Pancreatic beta-cells possess a well-regulated insulin secretory property that maintains systemic glucose homeostasis. Although it has long been thought that differentiated beta-cells are nearly static, recent studies have shown that beta-cell mass dynamically changes throughout the lifetime. In this article, recent progress of regenerative medicine of the pancreas is reviewed.... Our results showed that glucose up-regulated PANDER mRNA and protein levels in a time- and dose-dependent manner in MIN6 cells and pancreatic islets. ...Because PANDER is expressed by pancreatic beta-cells and in response to glucose in a similar way to those of insulin, PANDER may be involved in glucose homeostasis.

Fine-tuning of insulin secretion from pancreatic beta-cells participates in blood glucose homeostasis. ... Our data identify miR124a and miR96 as novel regulators of the expression of proteins playing a critical role in insulin exocytosis and in the release of other hormones and neurotransmitters.

30

A network of hypotheses and evidence

30

PHC Growth arrestundergo

A network of hypotheses and evidence

30

PHC Growth arrestundergo

A network of hypotheses and evidence

Paper A:implication

results

method

goal

fact

fact

30

PHC Growth arrestundergo

A network of hypotheses and evidence

Paper A:implication

results

method

goal

fact

fact

data 1

data 2 data 3

30

PHC Growth arrestundergo

A network of hypotheses and evidence

Paper A:implication

results

method

goal

fact

fact

Paper B:

data 4

data 5 data 6

implication

results

method

goal

fact

fact

data 1

data 2 data 3

30

PHC Growth arrestundergo

A network of hypotheses and evidence

Paper A:implication

results

method

goal

fact

fact

Paper B:

data 4

data 5 data 6

implication

results

method

goal

fact

fact

data 1

data 2 data 3

30

PHC Growth arrestundergo

A network of hypotheses and evidence

Paper A:implication

results

method

goal

fact

fact

Paper B:

data 4

data 5 data 6

implication

results

method

goal

fact

fact

data 1

data 2 data 3

30

PHC Growth arrestundergo

A network of hypotheses and evidence

Paper A:implication

results

method

goal

fact

fact

Paper B:

data 4

data 5 data 6

implication

results

method

goal

fact

fact

underpinning

data 1

data 2 data 3

30

PHC Growth arrestundergo

A network of hypotheses and evidence

Paper A:implication

results

method

goal

fact

fact

Paper B:

data 4

data 5 data 6

implication

results

method

goal

fact

fact

data 1

data 2 data 3

30

PHC Growth arrestundergo

A network of hypotheses and evidence

Paper A:implication

results

method

goal

fact

fact

Paper B:

data 4

data 5 data 6

implication

results

method

goal

fact

fact

data 1

data 2 data 3

method link

For Example: SWAN

For Example: SWAN

For Example: SWAN

For Example: SWAN

HypER Working Group:

- Goal: Align and expand existing efforts on detection and analysis of Hypotheses, Evidence & Relationships

- Partners:

- Harvard/MGH: SWAN, ARF

- Open University: Cohere

- Oxford University: CiTO, eLearning/Rhetoric

- DERI: SALT, aTags

- University of Trento: LiquidPub

- Xerox Research: XIP hypothesis identifier

- U Tilburg: ML for Science

- Elsevier, UUtrecht: Discourse analysis of biology

HypER Working Group:

- Goal: Align and expand existing efforts on detection and analysis of Hypotheses, Evidence & Relationships

- Partners:

- Harvard/MGH: SWAN, ARF

- Open University: Cohere

- Oxford University: CiTO, eLearning/Rhetoric

- DERI: SALT, aTags

- University of Trento: LiquidPub

- Xerox Research: XIP hypothesis identifier

- U Tilburg: ML for Science

- Elsevier, UUtrecht: Discourse analysis of biology

HypER Working Group:

- Goal: Align and expand existing efforts on detection and analysis of Hypotheses, Evidence & Relationships

- Partners:

- Harvard/MGH: SWAN, ARF

- Open University: Cohere

- Oxford University: CiTO, eLearning/Rhetoric

- DERI: SALT, aTags

- University of Trento: LiquidPub

- Xerox Research: XIP hypothesis identifier

- U Tilburg: ML for Science

- Elsevier, UUtrecht: Discourse analysis of biology

HypER Working Group:

- Goal: Align and expand existing efforts on detection and analysis of Hypotheses, Evidence & Relationships

- Partners:

- Harvard/MGH: SWAN, ARF

- Open University: Cohere

- Oxford University: CiTO, eLearning/Rhetoric

- DERI: SALT, aTags

- University of Trento: LiquidPub

- Xerox Research: XIP hypothesis identifier

- U Tilburg: ML for Science

- Elsevier, UUtrecht: Discourse analysis of biology

HypER Working Group:

- Goal: Align and expand existing efforts on detection and analysis of Hypotheses, Evidence & Relationships

- Partners:

- Harvard/MGH: SWAN, ARF

- Open University: Cohere

- Oxford University: CiTO, eLearning/Rhetoric

- DERI: SALT, aTags

- University of Trento: LiquidPub

- Xerox Research: XIP hypothesis identifier

- U Tilburg: ML for Science

- Elsevier, UUtrecht: Discourse analysis of biology

HypER Working Group:

- Goal: Align and expand existing efforts on detection and analysis of Hypotheses, Evidence & Relationships

- Partners:

- Harvard/MGH: SWAN, ARF

- Open University: Cohere

- Oxford University: CiTO, eLearning/Rhetoric

- DERI: SALT, aTags

- University of Trento: LiquidPub

- Xerox Research: XIP hypothesis identifier

- U Tilburg: ML for Science

- Elsevier, UUtrecht: Discourse analysis of biology

HypER Working Group:

- Goal: Align and expand existing efforts on detection and analysis of Hypotheses, Evidence & Relationships

- Partners:

- Harvard/MGH: SWAN, ARF

- Open University: Cohere

- Oxford University: CiTO, eLearning/Rhetoric

- DERI: SALT, aTags

- University of Trento: LiquidPub

- Xerox Research: XIP hypothesis identifier

- U Tilburg: ML for Science

- Elsevier, UUtrecht: Discourse analysis of biology

Hypothesis 22: Intramembrenous Aβ dimer may be toxic.

Derived from: POSTAT_CONTRIBUTION(This essay explores the possibility that a fraction of these Abeta peptides never leave the membrane lipid bilayer after they are generated, but instead exert their toxic effects by competing with and compromising the functions of intramembranous segments of membrane-bound proteins that serve many critical functions.

HypER Activities: http://hyper.wik.is

HypER Activities: http://hyper.wik.is

Current activities:

- Aligning discourse ontologies: joint task with W3C HCLSSig

- Aligning architectures to exchange hypotheses + evidence

- Format for a rhetorical conference paper (SALT + abcde)

- Parser test of hypothesis identification tools on pharmacology corpus

HypER Activities: http://hyper.wik.is

Current activities:

- Aligning discourse ontologies: joint task with W3C HCLSSig

- Aligning architectures to exchange hypotheses + evidence

- Format for a rhetorical conference paper (SALT + abcde)

- Parser test of hypothesis identification tools on pharmacology corpus

Further interests:

- Better structure of evidence: MyExperiment, KeFeD, ...

- Granularity of annotation/access: entity, hypothesis, discussion?

Conclusion

Conclusion

Problem: too much discourse, tools are not yet good enough...

Conclusion

Problem: too much discourse, tools are not yet good enough...

1. First attempt: allow authors to validate entities - pursue

Conclusion

Problem: too much discourse, tools are not yet good enough...

1. First attempt: allow authors to validate entities - pursue

2. Second attempt: discourse analysis - any help is great!

Conclusion

Problem: too much discourse, tools are not yet good enough...

1. First attempt: allow authors to validate entities - pursue

2. Second attempt: discourse analysis - any help is great!

3. Third attempt: collaboration to identify hypotheses: do join!

References

Hyland, K. (2004). Disciplinary Discourses: Social Interactions in Academic Writing, Addison Wesley Publishing Company, 2004.

Latour, B., and Woolgar, S. (1986). Laboratory Life: The Construction of Scientific Facts. 2nd ed. Princeton, NJ: Princeton University Press, 1986. ISBN: 9780691028323.

Latour, B. (1987). Science in Action, How to Follow Scientists and Engineers through Society, (Cambridge, Ma.: Harvard University Press, 1987)

Segmentation Criteria (summary)

Finite/Non-finite

Grammatical role Segment? Example

Finite/Non-finite Subject N The extent to which miRNAs specifically affect metastasis

Finite/Non-finite Direct Object Y these miRNAs are potential novel oncogenes

Nonfinite Phrase-level adjunct (restrictive and non-restrictive)

N spanning a given miRNA genomic region

Nonfinite Clause-level adjunct Y by cloning eight miR-Vec plasmids

Finite Non-restrictive Phrase-level adjunct Y which is only active when tamoxifen is added (De Vita et al, 2005) […]

Finite Restrictive Phrase-level adjunct N that we examined

Finite Clause-level adjunct Ywhich correlates with the reported ES-cell expression pattern of the miR-371-3 cluster (Suh et al, 2004)

Basic Segment TypesSegment Description Example

Fact a known fact, generally without explicit citation

mature miR-373 is a homolog of miR-372

Hypothesis a proposed idea, not supported by evidence This could for instance be a result of high mdm2 levels

Problem unresolved, contradictory, or unclear issue

However, further investigation is required to demonstrate the exact mechanism of LATS2 action

Goal research goal To identify novel functions of miRNAs,

Method experimental method Using fluorescence microscopy and luciferase assays,

Result a restatement of the outcome of an experiment

all constructs yielded high expression levels of mature miRNAs

Implication an interpretation of the results, in light of earlier

hypotheses and facts

our procedure is sensitive enough to detect mild growth differences

Two Types of Derived Segment Types

Two Types of Derived Segment Types

‘Other-segments’, related to (referenced) other work:

Two Types of Derived Segment Types

‘Other-segments’, related to (referenced) other work:

- other-result: ‘they are also found in the FCX and other cortical structures ([Sokoloff et al., 1990]’

Two Types of Derived Segment Types

‘Other-segments’, related to (referenced) other work:

- other-result: ‘they are also found in the FCX and other cortical structures ([Sokoloff et al., 1990]’

- other-goal: ‘the role of D3 receptors in the control of motivation and affect has been intensively studied [Heidbreder et al., 2005]’

Two Types of Derived Segment Types

‘Other-segments’, related to (referenced) other work:

- other-result: ‘they are also found in the FCX and other cortical structures ([Sokoloff et al., 1990]’

- other-goal: ‘the role of D3 receptors in the control of motivation and affect has been intensively studied [Heidbreder et al., 2005]’

- other-implication: ‘D1 or, more likely, D5, receptors have been implicated in mechanisms underlying long-term spatial memory [Hersi et al., 1995]’

Two Types of Derived Segment Types

‘Other-segments’, related to (referenced) other work:

- other-result: ‘they are also found in the FCX and other cortical structures ([Sokoloff et al., 1990]’

- other-goal: ‘the role of D3 receptors in the control of motivation and affect has been intensively studied [Heidbreder et al., 2005]’

- other-implication: ‘D1 or, more likely, D5, receptors have been implicated in mechanisms underlying long-term spatial memory [Hersi et al., 1995]’

Regulatory segments, acting as matrix sentences framing other segments:

Two Types of Derived Segment Types

‘Other-segments’, related to (referenced) other work:

- other-result: ‘they are also found in the FCX and other cortical structures ([Sokoloff et al., 1990]’

- other-goal: ‘the role of D3 receptors in the control of motivation and affect has been intensively studied [Heidbreder et al., 2005]’

- other-implication: ‘D1 or, more likely, D5, receptors have been implicated in mechanisms underlying long-term spatial memory [Hersi et al., 1995]’

Regulatory segments, acting as matrix sentences framing other segments:

- reg-hypothesis: ‘we hypothesized that ’

Two Types of Derived Segment Types

‘Other-segments’, related to (referenced) other work:

- other-result: ‘they are also found in the FCX and other cortical structures ([Sokoloff et al., 1990]’

- other-goal: ‘the role of D3 receptors in the control of motivation and affect has been intensively studied [Heidbreder et al., 2005]’

- other-implication: ‘D1 or, more likely, D5, receptors have been implicated in mechanisms underlying long-term spatial memory [Hersi et al., 1995]’

Regulatory segments, acting as matrix sentences framing other segments:

- reg-hypothesis: ‘we hypothesized that ’

- reg-implication: ‘These observations suggest that’

Two Types of Derived Segment Types

‘Other-segments’, related to (referenced) other work:

- other-result: ‘they are also found in the FCX and other cortical structures ([Sokoloff et al., 1990]’

- other-goal: ‘the role of D3 receptors in the control of motivation and affect has been intensively studied [Heidbreder et al., 2005]’

- other-implication: ‘D1 or, more likely, D5, receptors have been implicated in mechanisms underlying long-term spatial memory [Hersi et al., 1995]’

Regulatory segments, acting as matrix sentences framing other segments:

- reg-hypothesis: ‘we hypothesized that ’

- reg-implication: ‘These observations suggest that’

- intratextual: ‘Fig 4 shows that’

Two Types of Derived Segment Types

‘Other-segments’, related to (referenced) other work:

- other-result: ‘they are also found in the FCX and other cortical structures ([Sokoloff et al., 1990]’

- other-goal: ‘the role of D3 receptors in the control of motivation and affect has been intensively studied [Heidbreder et al., 2005]’

- other-implication: ‘D1 or, more likely, D5, receptors have been implicated in mechanisms underlying long-term spatial memory [Hersi et al., 1995]’

Regulatory segments, acting as matrix sentences framing other segments:

- reg-hypothesis: ‘we hypothesized that ’

- reg-implication: ‘These observations suggest that’

- intratextual: ‘Fig 4 shows that’

- intertextual: ‘reviewed in (Serrano, 1997)’

My categories vs. Latour (1979)

Linguistic and structural properties

Linguistic and structural properties

Linguistic and structural properties1. Position in text

Linguistic and structural properties1. Position in text

- Section of the paper (Introduction, Results, Discussion)

Linguistic and structural properties1. Position in text

- Section of the paper (Introduction, Results, Discussion)

- Beginning/middle/end of section

Linguistic and structural properties1. Position in text

- Section of the paper (Introduction, Results, Discussion)

- Beginning/middle/end of section

- First/second third part of sentence

Linguistic and structural properties1. Position in text

- Section of the paper (Introduction, Results, Discussion)

- Beginning/middle/end of section

- First/second third part of sentence

2. Verb:

Linguistic and structural properties1. Position in text

- Section of the paper (Introduction, Results, Discussion)

- Beginning/middle/end of section

- First/second third part of sentence

2. Verb:

- Tense, aspect, voice

Linguistic and structural properties1. Position in text

- Section of the paper (Introduction, Results, Discussion)

- Beginning/middle/end of section

- First/second third part of sentence

2. Verb:

- Tense, aspect, voice

- Verb class (idiosyncratic)

Linguistic and structural properties1. Position in text

- Section of the paper (Introduction, Results, Discussion)

- Beginning/middle/end of section

- First/second third part of sentence

2. Verb:

- Tense, aspect, voice

- Verb class (idiosyncratic)

- Lexicon

Linguistic and structural properties1. Position in text

- Section of the paper (Introduction, Results, Discussion)

- Beginning/middle/end of section

- First/second third part of sentence

2. Verb:

- Tense, aspect, voice

- Verb class (idiosyncratic)

- Lexicon

3. Metadiscourse markers [Hyland, 2003]:

Linguistic and structural properties1. Position in text

- Section of the paper (Introduction, Results, Discussion)

- Beginning/middle/end of section

- First/second third part of sentence

2. Verb:

- Tense, aspect, voice

- Verb class (idiosyncratic)

- Lexicon

3. Metadiscourse markers [Hyland, 2003]:

- Connectives

Linguistic and structural properties1. Position in text

- Section of the paper (Introduction, Results, Discussion)

- Beginning/middle/end of section

- First/second third part of sentence

2. Verb:

- Tense, aspect, voice

- Verb class (idiosyncratic)

- Lexicon

3. Metadiscourse markers [Hyland, 2003]:

- Connectives

- Endophorics, Evidentials

Linguistic and structural properties1. Position in text

- Section of the paper (Introduction, Results, Discussion)

- Beginning/middle/end of section

- First/second third part of sentence

2. Verb:

- Tense, aspect, voice

- Verb class (idiosyncratic)

- Lexicon

3. Metadiscourse markers [Hyland, 2003]:

- Connectives

- Endophorics, Evidentials

- Hedges, Boosters

Linguistic and structural properties1. Position in text

- Section of the paper (Introduction, Results, Discussion)

- Beginning/middle/end of section

- First/second third part of sentence

2. Verb:

- Tense, aspect, voice

- Verb class (idiosyncratic)

- Lexicon

3. Metadiscourse markers [Hyland, 2003]:

- Connectives

- Endophorics, Evidentials

- Hedges, Boosters

- Person markers

Verb class

Verb classTwo types of entities interact in biology texts:

- Thing:

- Thing -> Increase, die, etc

- Thing-thing: affect, stimulate etc.

- People:

- People -> Thing:

- Examine (Goal)

- Operate (Method)

- Observe (Result)

- Implicate (Implication)

- People - people: Report

Interpretation: 3 Realms of Science:

Experimental realm

Data realm

Conceptual realm

Interpretation: 3 Realms of Science:

Experimental realm

Data realm

Conceptual realm

(1) Oncogene-induced senescence is characterized by the appearance of cells with a flat morphology that express senescence associated (SA)-

-Galactosidase.

(4b) transduction with either miR-Vec-371&2 or miR-Vec-373 prevents RASV12-induced growth arrest in primary human cells.

(2b) control RASV12-arrested cells showed relatively high abundance of flat cells expressing SA- -Galactosidase

(3b) very few cells showed senescent morphology when transduced with either miR-Vec-371&2, miR-Vec-373, or control p53kd.

(4a) Altogether, these data show that

(3a) Consistent with the cell growth assay,

(Figures)

(2a) Indeed,

(2c) (Figures 2G and 2H).

Interpretation: 3 Realms of Science:

Experimental realm

Data realm

Conceptual realm

(1) Oncogene-induced senescence is characterized by the appearance of cells with a flat morphology that express senescence associated (SA)-

-Galactosidase.

(4b) transduction with either miR-Vec-371&2 or miR-Vec-373 prevents RASV12-induced growth arrest in primary human cells.

(2b) control RASV12-arrested cells showed relatively high abundance of flat cells expressing SA- -Galactosidase

(3b) very few cells showed senescent morphology when transduced with either miR-Vec-371&2, miR-Vec-373, or control p53kd.

(4a) Altogether, these data show that

(3a) Consistent with the cell growth assay,

(Figures)

(2a) Indeed,

(2c) (Figures 2G and 2H).

Tense 1: Concepts vs. Experiment

(1) Oncogene-induced senescence is characterized by the appearance of cells with a flat morphology that express senescence associated (SA)-

-Galactosidase.

(4b) transduction with either miR-Vec-371&2 or miR-Vec-373 prevents RASV12-induced growth arrest in primary human cells.

(2b) control RASV12-arrested cells showed relatively high abundance of flat cells expressing SA- -Galactosidase

(3b) very few cells showed senescent morphology when transduced with either miR-Vec-371&2, miR-Vec-373, or control p53kd.

(4a) Altogether, these data show that

(3a) Consistent with the cell growth assay,

(Figures)

(2a) Indeed,

Expe

r ime n

t al r

ealm

( p

ers o

nal,

past

) D

a ta

real

m

(non

tver

bal)

(2c) (Figures 2G and 2H).

Con

c ep t

real

m

Tense 2: Referral

Introduction

Current work (= Results section)

After current work: past

Before current work: present

Discussion

present past future

othe

r pap

ers

own

pap e

r

Other Work

After other work: past

Tense 1+ 2 = 3:

Reading time

Expe

rient

ial

Con

cept

ual

past present future

Claim, fact

Experiment