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        <title>Entity Linking meets Word Sense Disambiguation: a Unified Approach</title>
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        <namePart type="given">Andrea</namePart>
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    <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</abstract>
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    <identifier type="doi">10.1162/tacl_a_00179</identifier>
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        <date>2014</date>
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%0 Journal Article
%T Entity Linking meets Word Sense Disambiguation: a Unified Approach
%A Moro, Andrea
%A Raganato, Alessandro
%A Navigli, Roberto
%J Transactions of the Association for Computational Linguistics
%D 2014
%V 2
%I MIT Press
%C Cambridge, MA
%F moro-etal-2014-entity
%X 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
%R 10.1162/tacl_a_00179
%U https://aclanthology.org/Q14-1019
%U https://doi.org/10.1162/tacl_a_00179
%P 231-244

Markdown (Informal)

[Entity Linking meets Word Sense Disambiguation: a Unified Approach](https://aclanthology.org/Q14-1019) (Moro et al., TACL 2014)

• Entity Linking meets Word Sense Disambiguation: a Unified Approach (Moro et al., TACL 2014)

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.