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Presentation for Doctoral Consortium at ISWC 2014.
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Entity Linking with Multiple
Knowledge Bases: an Ontology
Modularization ApproachBianca Pereira
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?
