Word Clustering Task
(Redirected from word clustering task)
Jump to navigation
Jump to search
A Word Clustering Task is a text-item clustering task that produces word clusters.
- Context:
- It can be solved by a Word Clustering System (that implements a word clustering algorithm).
- It can range from being a Heuristic Word Clustering Task to being a Data-Driven Word Clustering Task.
- It can range from being a Semantic Word Clustering Task to being a Syntactic Word Clustering Task.
- Example(s):
- Counter-Example(s):
- See: Similar Words Task, Distributional Semantic Modeling.
References
2004
- (Miller et al., 2004) ⇒ Scott Miller, Jethran Guinness, and Alex Zamanian. (2004). “Name Tagging with Word Clusters and Discriminative Training.” In: Proceedings of HLT-NAACL 2004.
2002
- (Dhillon et al., 2002) ⇒ Inderjit S. Dhillon, Subramanyam Mallela, and Rahul Kumar. (2002). “Enhanced Word Clustering for Hierarchical Text Classification.” In: Proceedings of the eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.
1998
- (Martin et al., 1998) ⇒ Sven Martin, Jörg Liermann, and Hermann Ney. “Algorithms for bigram and trigram word clustering." Speech communication 24, no. 1 (1998): 19-37.