Use of Multiple Features for Extracting Topics from News Clusters
نویسندگان
چکیده
In this paper we consider a method for extraction of sets of semantically similar language expressions representing different participants of the text story – thematic nodes. The method is based on the structural organization of news clusters and exploits comparison of various contexts of words. The word contexts are used as a basis for multiword expression extraction and thematic node construction. We evaluate our method on the multi-document summarization task.
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