Automatic hypertext construction
Automatic hypertext construction
Automatically generating hypertext by computing semantic similarity
Automatically generating hypertext by computing semantic similarity
From information retrieval to hypertext and back again: the role of interaction in the information exploration interface
Lexical cohesion computed by thesaural relations as an indicator of the structure of text
Computational Linguistics
Acquisition of categorized named entities for web search
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Finding instance names and alternative glosses on the web: wordnet reloaded
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
Revisiting Cross-document Structure Theory for multi-document discourse parsing
Information Processing and Management: an International Journal
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We discuss an automatic method for the construction of hypertext links within and between newspaper articles. The method comprises three steps: determining the lexical chains in a text, building links between the paragraphs of articles, and building links between articles. Lexical chains capture the semantic relations between words that occur throughout a text. Each chain is a set of related words that captures a portion of the cohesive structure of a text. By considering the distribution of chains within an article, we can build links between the paragraphs. By computing the similarity of the chains contained in two different articles, we can decide whether or not to place a link between them. We also describe the results of an evaluation performed to test the methodology.