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This article discusses the use of hypertext in political sciences to create new computer programs for facilitating new understandings and creative new discourses. The hypertextual approach to the conceptual basis of political theory is done by: using political science dictionaries to select the concepts most frequently used; linking them to bibliographic and textual sources for analysis; and placing each concept in a matrix of consistent relationships in order to develop multi-dimensional links.

The CL Research Senseval system was the highest performing system among the 'All-words' systems, with an overall fine-grained score of 61.6 percent for precision and 60.5 percent for recall on 98 percent of the 8,448 texts on the revised submission (up by almost 6 and 9 percent from the first). The results were achieved with an almost complete reliance on syntactic behavior, using (1) a robust and fast ATN-style parser producing parse trees with annotations on nodes, (2) DIMAP dictionary creation and maintenance software (after conversion of the Hector dictionary files) to hold dictionary entries, and (3) a strategy for analyzing the parse trees in concert with the dictionary data. Further considerable improvements are possible in the parser, exploitation of the Hector data (and representation of dictionary entries), and the analysis strategy, still with syntactic and collocational data. The Senseval data (the dictionary entries and the corpora) provide an excellent testbed for understanding the sources of failures and for evaluating changes in the CL Research system. Key words: word-sense disambiguation, Senseval, dictionary software, analysis of parsing output

Lexicography is an art easily learned but seldom mastered. A comprehensive dictionary requires of its editor dozens of difficult decisions on every page. Moreover, different kinds of users have different [...]