Entity Linking meets Word Sense Disambiguation: a Unified Approach

TACL 2014  ·  Andrea Moro, Aless Raganato, ro, Roberto Navigli ·

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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Task Dataset Model Metric Name Metric Value Global Rank Benchmark
Word Sense Disambiguation Knowledge-based: Babelfy All 65.5 # 3
Senseval 2 67.0 # 3
Senseval 3 63.5 # 4
SemEval 2007 51.6 # 4
SemEval 2013 66.4 # 2
SemEval 2015 **70.3** # 5

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