Entity Linking meets Word Sense Disambiguation: a Unified Approach

Andrea Moro, Alessandro Raganato, Roberto Navigli


Abstract
Entity Linking (EL) and Word Sense Disambiguation (WSD) both address the lexical ambiguity of language. But while the two tasks are pretty similar, they differ in a fundamental respect: in EL the textual mention can be linked to a named entity which may or may not contain the exact mention, while in WSD there is a perfect match between the word form (better, its lemma) and a suitable word sense. In this paper we present Babelfy, a unified graph-based approach to EL and WSD based on a loose identification of candidate meanings coupled with a densest subgraph heuristic which selects high-coherence semantic interpretations. Our experiments show state-of-the-art performances on both tasks on 6 different datasets, including a multilingual setting. Babelfy is online at http://babelfy.org
Anthology ID:
Q14-1019
Volume:
Transactions of the Association for Computational Linguistics, Volume 2
Month:
Year:
2014
Address:
Cambridge, MA
Editors:
Dekang Lin, Michael Collins, Lillian Lee
Venue:
TACL
SIG:
Publisher:
MIT Press
Note:
Pages:
231–244
Language:
URL:
https://aclanthology.org/Q14-1019
DOI:
10.1162/tacl_a_00179
Bibkey:
Cite (ACL):
Andrea Moro, Alessandro Raganato, and Roberto Navigli. 2014. Entity Linking meets Word Sense Disambiguation: a Unified Approach. Transactions of the Association for Computational Linguistics, 2:231–244.
Cite (Informal):
Entity Linking meets Word Sense Disambiguation: a Unified Approach (Moro et al., TACL 2014)
Copy Citation:
PDF:
https://aclanthology.org/Q14-1019.pdf
Data
AIDA CoNLL-YAGODBpediaWord Sense Disambiguation: a Unified Evaluation Framework and Empirical Comparison