Entity Linking with Multiple Knowledge Bases: an Ontology Modularization Approach

Entity Linking with Multiple

Knowledge Bases: an Ontology

Modularization ApproachBianca Pereira

bianca.pereira@insight-centre.org

Doctoral Consortium – ISWC 2014

Problem

© Insight 2014. All Rights Reserved

Marco Nanini performed very well as Alberto in Copacabana movie.

?

16

11

>90

State of the art

Zemanta and Alchemy API Sil et al.

DeMartini et al.

Boyce-CoddNormal Form

Preliminary Results

• Can we apply state-of-the-art algorithms for Entity Linking with other

Knowledge Bases?

Knowledge Base F-Score

0.87

0.54

(Andrea Moro, Alessandro Raganato, Roberto Navigli. Entity Linking meets Word Sense Disambiguation: a Unified Approach. Transactions of the Association for

Computational Linguistics, v. 2, 2014.)

me 32

Research Questions

• What are the textual and Knowledge Base features most relevant for Entity

Linking?

• Is it feasible to achieve comparable performance to Knowledge Base specific

approaches?

Context specific modules

Marco Nanini performed very well as Alberto in Copacabana movie.

?verbmention

mention

Marco NaniniCopacabana (2001) Copacabana

Alberto

Approach

Entity Linking

Mention Recognition

CandidateSelection

Disambiguation

Evaluation Plan

• Features• Method

Mention Recognition

Candidate Selection

Disambiguation

Reflections

And if I fail?