Computer interpretation of natural language descriptions
Computer interpretation of natural language descriptions
Attention, intentions, and the structure of discourse
Computational Linguistics
Using multiple knowledge sources for word sense discrimination
Computational Linguistics
Multi-Paragraph Segmentation of Expository Texts
Multi-Paragraph Segmentation of Expository Texts
TextTiling: A Quantitative Approach to Discourse
TextTiling: A Quantitative Approach to Discourse
Lexical cohesion computed by thesaural relations as an indicator of the structure of text
Computational Linguistics
Intention-based segmentation: human reliability and correlation with linguistic cues
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Text segmentation based on similarity between words
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Word-sense disambiguation using statistical models of Roget's categories trained on large corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Intonational features of local and global discourse structure
HLT '91 Proceedings of the workshop on Speech and Natural Language
Textual context analysis for information retrieval
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Lexical semantics and automatic hypertext construction
ACM Computing Surveys (CSUR)
Text segmentation with multiple surface linguistic cues
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
SeLeCT: a lexical cohesion based news story segmentation system
AI Communications - STAIRS 2002
Correcting real-word spelling errors by restoring lexical cohesion
Natural Language Engineering
First story detection using a composite document representation
HLT '01 Proceedings of the first international conference on Human language technology research
A statistical model for domain-independent text segmentation
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Spoken and written news story segmentation using lexical chains
NAACLstudent '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: Proceedings of the HLT-NAACL 2003 student research workshop - Volume 3
Inferable Centers, Centering Transitions, and the Notion of Coherence
Computational Linguistics
Journal of Computer Science and Technology
A New Lexical Chain Algorithm Used for Automatic Summarization
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
A New Lexical Chain Algorithm Used for Automatic Summarization
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
Not as easy as it seems: automating the construction of lexical chains using Roget's thesaurus
AI'03 Proceedings of the 16th Canadian society for computational studies of intelligence conference on Advances in artificial intelligence
Measuring semantic similarity based on weighting attributes of edge counting
AIS'04 Proceedings of the 13th international conference on AI, Simulation, and Planning in High Autonomy Systems
Automatic text segmentation for movie subtitles
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
Lexical chains using distributional measures of concept distance
CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
Discourse coherence: lexical chain, complex network and semantic field
CLSW'12 Proceedings of the 13th Chinese conference on Chinese Lexical Semantics
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In this paper, we describe how word sense ambiguity can be resolved with the aid of lexical cohesion. By checking lexical cohesion between the current word and lexical chains in the order of the salience, in tandem with generation of lexical chains, we realize incremental word sense disambiguation based on contextual information that lexical chains, reveal. Next, we describe how segment boundaries of a text can be determined with the aid of lexical cohesion. We can measure the plausibility of each point in the text as a segment boundary by computing a degree of agreement of the start and end points of lexical chains.