Entity Linking meets Word Sense Disambiguation: a Unified Approach
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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,…
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Keywords
- Computer science
- Word-sense disambiguation
- Natural language processing
- Lemma (botany)
- Ambiguity
- Word (group theory)
- Artificial intelligence
- Entity linking
UN Sustainable Development Goals
- Quality Education
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