TY - GEN
T1 - SANAPHOR
T2 - 14th International Semantic Web Conference, ISWC 2015
AU - Prokofyev, Roman
AU - Tonon, Alberto
AU - Luggen, Michael
AU - Vouilloz, Loic
AU - Difallah, Djellel Eddine
AU - Cudré-Mauroux, Philippe
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84952333039&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84952333039&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-25007-6_27
DO - 10.1007/978-3-319-25007-6_27
M3 - Conference contribution
AN - SCOPUS:84952333039
SN - 9783319250069
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 458
EP - 473
BT - The Semantic Web – ISWC 2015 - 14th International Semantic Web Conference, Proceedings
A2 - Arenas, Marcelo
A2 - Corcho, Oscar
A2 - Simperl, Elena
A2 - Strohmaier, Markus
A2 - d’Aquin, Mathieu
A2 - Srinivas, Kavitha
A2 - Groth, Paul
A2 - Dumontier, Michel
A2 - Heflin, Jeff
A2 - Thirunarayan, Krishnaprasad
A2 - Staab, Steffen
PB - Springer Verlag
Y2 - 11 October 2015 through 15 October 2015
ER -