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:
Venue:
TACL
SIG:
Publisher:
Note:
Pages:
231–244
Language:
URL:
https://www.aclweb.org/anthology/Q14-1019
DOI:
10.1162/tacl_a_00179
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PDF:
http://aclanthology.lst.uni-saarland.de/Q14-1019.pdf