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This paper addresses the problem of keyword extractionfrom conversations, with the goal of using these keywords toretrieve, for each short conversation fragment, a small numberof potentially relevant documents, which can be recommended toparticipants. However, even a short fragment contains a varietyof words, which are potentially related to several topics; moreover,using an automatic speech recognition (ASR) system introduceserrors among them. Therefore, it is difficult to infer preciselythe ...