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The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.

Entity Linking meets Word Sense Disambiguation: a Unified Approach

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Moro, Andrea, Raganato, Alessandro, Navigli, Roberto·2014·Transactions of the Association for Computational Linguistics

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

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Metadata

Authors
Moro, A., Raganato, A., & Navigli, R.
Venue
Transactions of the Association for Computational Linguistics
Published
2014-12
Volume
2
Pages
231-244
ISSN
2307-387X (ISSN-L)
OpenAlex
W2127289991
Cited by
743
References
63
FWCI
87.81
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Entity Linking meets Word Sense Disambiguation: a Unified Approach. https://app.cochat.ai/papers/10.1162/tacl_a_00179
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Moro, A., Raganato, A., & Navigli, R. (2014). Entity Linking meets Word Sense Disambiguation: a Unified Approach. Transactions of the Association for Computational Linguistics. https://doi.org/10.1162/tacl_a_00179

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