Text Segmentation Based on Similarity between Words
| dc.creator | Kozima, Hideki | |
| dc.date | 1996-01-23 | |
| dc.date.accessioned | 2026-07-07T09:10:05Z | |
| dc.date.available | 2026-07-07T09:10:05Z | |
| dc.description | This paper proposes a new indicator of text structure, called the lexical cohesion profile (LCP), which locates segment boundaries in a text. A text segment is a coherent scene; the words in a segment are linked together via lexical cohesion relations. LCP records mutual similarity of words in a sequence of text. The similarity of words, which represents their cohesiveness, is computed using a semantic network. Comparison with the text segments marked by a number of subjects shows that LCP closely correlates with the human judgments. LCP may provide valuable information for resolving anaphora and ellipsis. | |
| dc.description | 3 pages, uufiles (paper.tex, acl.sty, bezier.sty) | |
| dc.identifier | https://arxiv.org/abs/cmp-lg/9601005 | |
| dc.identifier | http://arxiv.org/abs/cmp-lg/9601005 | |
| dc.identifier | Proceedings of ACL-93 (Ohio), pp.286-288, 1993. | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/151258 | |
| dc.subject | Computation and Language | |
| dc.title | Text Segmentation Based on Similarity between Words | |
| dc.type | text |