Word Clustering Task

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):
  • a Word Vector Clustering Task.
  • …
• Counter-Example(s):
  • a Word Classification Task.
  • a Phrase Clustering Task.
  • a Sentence Clustering Task.
  • a Document Clustering Task.
• See: Similar Words Task, Distributional Semantic Modeling.

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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.

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