QACIAD (Question Answering Challenge for Information Access Dialogue) is an evaluation framework for measuring interactive question answering (QA) technologies. It assumes that users interactively collect information using a QA system for writing a report on a given topic and evaluates, among other things, the capabilities needed under such circumstances. This paper reports an experiment for examining the assumptions made by QACIAD. In this experiment, dialogues under the situation that QACIAD assumes are collected using WoZ (Wizard of Oz) simulating, which is frequently used for collecting dialogue data for designing speech dialogue systems, and then analyzed. The results indicate that the setting of QACIAD is real and appropriate and that one of the important capabilities for future interactive QA systems is providing cooperative and helpful responses.
In this paper, we propose a method for extracting key paragraphs in articles based on the degree of context dependency. Like Luhn's technique, our method assumes that the words related to theme in an article appear throughout paragraphs. Our extraction technique of keywords is based on the degree of context dependency that how strongly a word is related to a given context. The results of experiments demonstrate the applicability of our proposed method.
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