Word Sense Clustering Task
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A Word-Sense Clustering Task is a Word-level Analysis Task is a Coreference Resolution Task (requires the grouping of all Words in a Corpus that refer to the same Concept).
- AKA: Word Sense Discrimination Task, Word Sense Coreference Resolution Task.
- Context:
- Input: a Corpus.
- Optionally: an Entity Type Definition.
- output: a Word-Sense Inventory.
- Optionally: a mapping to the Word Mentions in the Corpus.
- It can be solved by a Word Sense Clustering System (that implements a Word Sense Clustering algorithm).
- It can be solved by a Word-Sense Discrimination System (that implements a Word-Sense Discrimination algorithm).
- Input: a Corpus.
- See: Word Sense Disambiguation Task, Homonym Relation, Entity Mention Coreference Resolution Task, SemEval Task.
References
2005
- Rada and Pedersen (2005). “[Advances in WSD.]] Tutorial
- Word sense discrimination is the problem of dividing the usages of a word into different meanings, without regard to any particular existing sense inventory.
1998
- (Schütze, 1998) ⇒ Hinrich Schütze. (1998). “Automatic Word Sense Discrimination.” In: Computational Linguistics 24(1).