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نویسندگان
چکیده
Thematic analysis is important for a lot of applications dealing with texts, such as text summarisation or information extraction. But it can be done with a great precision only if it relies on structured knowledge, which is difficult to produce. In this paper, we propose using bootstrapping in order to solve this problem: a first thematic analysis based on a weakly structured source of knowledge, a collocation network, is used for learning explicit topic representations that then support a more precise and a more reliable thematic analysis.
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