Papers › Entity Linking meets Word Sense Disambiguation: a Unified Approach

Entity Linking meets Word Sense Disambiguation: a Unified Approach

1 Jan 2014TACL 2014 1archive 2025-07-28

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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Tasks

Entity LinkingLEMMAReading ComprehensionWord Sense Disambiguation

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Word Sense Disambiguation Knowledge-based: Babelfy All 65.5 #3 of 6 Archive leaderboard report
Word Sense Disambiguation Knowledge-based: Babelfy SemEval 2007 51.6 #3 of 6 Archive leaderboard report
Word Sense Disambiguation Knowledge-based: Babelfy SemEval 2013 66.4 #3 of 6 Archive leaderboard report
Word Sense Disambiguation Knowledge-based: Babelfy SemEval 2015 **70.3** #3 of 6 Archive leaderboard report
Word Sense Disambiguation Knowledge-based: Babelfy Senseval 2 67.0 #3 of 6 Archive leaderboard report
Word Sense Disambiguation Knowledge-based: Babelfy Senseval 3 63.5 #3 of 6 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

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