2014 EntityLinkingMeetsWordSenseDisa
- (Moro et al., 2014) ⇒ Andrea Moro, Alessandro Raganato, and Roberto Navigli. (2014). “Entity Linking Meets Word Sense Disambiguation: A Unified Approach.” In: Transactions of the Association for Computational Linguistics, 2?.
Subject Headings: Automated Word Sense Disambiguation.
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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
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| Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2014 EntityLinkingMeetsWordSenseDisa | Andrea Moro Alessandro Raganato | Entity Linking Meets Word Sense Disambiguation: A Unified Approach |