Text Segmentation Based on Similarity between Words

@inproceedings{citeulike:1245352, abstract = {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 cohesivehess, is computed using a semantic ]letwork. Comparison with the text segments marked by a number of subjects shows that LCP...}, author = {Kozima, Hideki }, booktitle = {Meeting of the Association for Computational Linguistics}, citeulike-article-id = {1245352}, keywords = {mining, semantic, text}, pages = {286--288}, posted-at = {2008-04-19 04:57:33}, priority = {4}, title = {Text Segmentation Based on Similarity between Words}, url = {http://citeseer.ist.psu.edu/kozima93text.html}, year = {1993} }

TY - CONF ID - citeulike:1245352 L3 - citeulike-article-id:1245352 TI - Text Segmentation Based on Similarity between Words T2 - Meeting of the Association for Computational Linguistics SP - 286 EP - 288 N2 - 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 cohesivehess, is computed using a semantic ]letwork. Comparison with the text segments marked by a number of subjects shows that LCP... KW - mining KW - semantic KW - text AU - Kozima, Hideki PY - 1993/// UR - http://citeseer.ist.psu.edu/kozima93text.html ER -