BibSonomy :: publication ::

tag user group author concept BibTeX key search:all search:lee_peck

The blue social bookmark and publication sharing system.

(0)

This publication has not been reviewed yet.

rating distribution

average user rating

The average rating is computed over all reviews. However, some of them may be invisible to you due to the visibility setting chosen by the reviewers.

(0.0 of 5.0 based on 0 reviews)

Lexical cohesion computed by thesaural relations as an indicator of the structure of text

by: Jane Morris, and Graeme Hirst

In: Comput. Linguist., Vol. 17, Nr. 1 Cambridge, MA, USA: MIT Press (1991) , p. 21--48.

Resources (URL, PDF, PS...)

URL:	http://portal.acm.org/citation.cfm?id=971740&dl=GUIDE&coll=GUIDE&CFID=78733227&CFTOKEN=35066520

In text, lexical cohesion is the result of chains of related words that contribute to the continuity of lexical meaning. These lexical chains are a direct result of units of text being äbout the same thing," and finding text structure involves finding units of text that are about the same thing. Hence, computing the chains is useful, since they will have a correspondence to the structure of the text. Determining the structure of text is an essential step in determining the deep meaning of the text. In this paper, a thesaurus is used as the major knowledge base for computing lexical chains. Correspondences between lexical chains and structural elements are shown to exist. Since the lexical chains are computable, and exist in non-domain-specific text, they provide a valuable indicator of text structure. The lexical chains also provide a semantic context for interpreting words, concepts, and sentences.

Description

Lexical cohesion computed by thesaural relations as an indicator of the structure of text

BibTeX record

@article{Morris91semanticsThesaurus,
  abstract = {In text, lexical cohesion is the result of chains of related words that contribute to the continuity of lexical meaning. These lexical chains are a direct result of units of text being "about the same thing," and finding text structure involves finding units of text that are about the same thing. Hence, computing the chains is useful, since they will have a correspondence to the structure of the text. Determining the structure of text is an essential step in determining the deep meaning of the text. In this paper, a thesaurus is used as the major knowledge base for computing lexical chains. Correspondences between lexical chains and structural elements are shown to exist. Since the lexical chains are computable, and exist in non-domain-specific text, they provide a valuable indicator of text structure. The lexical chains also provide a semantic context for interpreting words, concepts, and sentences.},
  added-at = {2010-03-05T02:48:43.000+0100},
  address = {Cambridge, MA, USA},
  author = {Morris, Jane and Hirst, Graeme},
  biburl = {http://www.bibsonomy.org/bibtex/2f903aaf4d45f5f33c4e4709c208d9734/lee_peck},
  description = {Lexical cohesion computed by thesaural relations as an indicator of the structure of text},
  interhash = {1a4f3191bd4e4571172959e3627bac4e},
  intrahash = {f903aaf4d45f5f33c4e4709c208d9734},
  issn = {0891-2017},
  journal = {Comput. Linguist.},
  keywords = {91 Morris lexical relatedness semantics text thesaurus},
  number = 1,
  pages = {21--48},
  publisher = {MIT Press},
  timestamp = {2010-03-05T02:48:43.000+0100},
  title = {Lexical cohesion computed by thesaural relations as an indicator of the structure of text},
  url = {http://portal.acm.org/citation.cfm?id=971740&dl=GUIDE&coll=GUIDE&CFID=78733227&CFTOKEN=35066520},
  volume = 17,
  year = 1991
}

Endnote record

%0 Journal Article
%1 Morris91semanticsThesaurus
%A Morris, Jane
%A Hirst, Graeme
%C Cambridge, MA, USA
%D 1991
%I MIT Press
%J Comput. Linguist.
%K 
%N 1
%P 21--48
%T Lexical cohesion computed by thesaural relations as an indicator of the structure of text
%U http://portal.acm.org/citation.cfm?id=971740&dl=GUIDE&coll=GUIDE&CFID=78733227&CFTOKEN=35066520
%V 17
%X In text, lexical cohesion is the result of chains of related words that contribute to the continuity of lexical meaning. These lexical chains are a direct result of units of text being "about the same thing," and finding text structure involves finding units of text that are about the same thing. Hence, computing the chains is useful, since they will have a correspondence to the structure of the text. Determining the structure of text is an essential step in determining the deep meaning of the text. In this paper, a thesaurus is used as the major knowledge base for computing lexical chains. Correspondences between lexical chains and structural elements are shown to exist. Since the lexical chains are computable, and exist in non-domain-specific text, they provide a valuable indicator of text structure. The lexical chains also provide a semantic context for interpreting words, concepts, and sentences.

BibSonomy :: publication ::

Lexical cohesion computed by thesaural relations as an indicator of the structure of text

Resources (URL, PDF, PS...)

Abstract

Description

BibTeX record

Endnote record