2001/03/29 by Ted Pedersen, Pedersen, Ted
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.7 #Natural Language Processing Techniques #Speech and dialogue systems #Video Analysis and Summarization #cs.CL
paper · pdf · doi:10.48550/arxiv.cs/0103026
Proceedings of the Second Meeting of the North American Chapter of the Association for Computational Linguistics (NAACL-01), June 2-7, 2001, Pittsburgh, PA; 8 pages
arxiv created 2001/03/29 · openalex publication_date 2001/03/29 · arxiv updated 2009/11/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This paper presents a corpus-based approach to word sense disambiguation where a decision tree assigns a sense to an ambiguous word based on the bigrams that occur nearby. This approach is evaluated using the sense-tagged corpora from the 1998 SENSEVAL word sense disambiguation exercise. It is more accurate than the average results reported for 30 of 36 words, and is more accurate than the best results for 19 of 36 words.