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Published in:
2015 | OriginalPaper | Chapter
SANAPHOR: Ontology-Based Coreference Resolution
Authors : Roman Prokofyev, Alberto Tonon, Michael Luggen, Loic Vouilloz, Djellel Eddine Difallah, Philippe Cudré-Mauroux
Published in: The Semantic Web - ISWC 2015
Publisher: Springer International Publishing
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We tackle the problem of resolving coreferences in textual content by leveraging Semantic Web techniques. Specifically, we focus on noun phrases that coreference identifiable entities that appear in the text; the challenge in this context is to improve the coreference resolution by leveraging potential semantic annotations that can be added to the identified mentions. Our system,
SANAPHOR
, first applies state-of-the-art techniques to extract entities, noun phrases, and candidate coreferences. Then, we propose an approach to type noun phrases using an inverted index built on top of a Knowledge Graph (e.g., DBpedia). Finally, we use the semantic relatedness of the introduced types to improve the stateof- the-art techniques by splitting and merging coreference clusters. We evaluate
SANAPHOR
on CoNLL datasets, and show how our techniques consistently improve the state of the art in coreference resolution.