1998 AutomaticWordSenseDiscrimination

• (Schütze, 1998) ⇒ Hinrich Schütze. (1998). “Automatic Word Sense Discrimination.” In: Computational Linguistics, 24(1).

Subject Headings: Word Sense Discrimination.

Cited By

• ~594 http://scholar.google.com/scholar?cites=14393856487154848045

2003

• (Kaji, 2003) ⇒ Hiroyuki Kaji. (2003). “Word Sense Acquisition from Bilingual Comparable Corpora.” In: Proceedings of NAACL Conference (NAACL 2003).
  • … Schuetze (1998) proposed a method for dividing occurrences of a word into classes, each of which consists of contextually similar occurrences. However, it does not produce definitions of senses such as sets of synonyms and sets of translation equivalents.

Quotes

Abtract

This paper presents context-group discrimination, a disambiguation algorithm based on clustering. Senses are interpreted as groups (or clusters) of similar contexts of the ambiguous word. Words, contexts, and senses are represented in Word Space, a high-dimensional, real-valued space in which closeness corresponds to semantic similarity. Similarity in Word Space is based on second-order co-occurrence: two tokens (or contexts) of the ambiguous word are assigned to the same sense cluster if the words they co-occur with in turn occur with similar words in a training corpus. The algorithm is automatic and unsupervised in both training and application: senses are induced from a corpus without labeled training instances or other external knowledge sources. The paper demonstrates good performance of context-group discrimination for a sample of natural and artificial ambiguous words.,

	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
1998 AutomaticWordSenseDiscrimination	Hinrich Schütze			Automatic Word Sense Discrimination		Computational Linguistics (CL) Research Area	http://www.aclweb.org/anthology/J/J98/J98-1004.pdf			1998