کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
396170 | 666301 | 2007 | 22 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Semantic passage segmentation based on sentence topics for question answering Semantic passage segmentation based on sentence topics for question answering](/preview/png/396170.png)
We propose a semantic passage segmentation method for a Question Answering (QA) system. We define a semantic passage as sentences grouped by semantic coherence, determined by the topic assigned to individual sentences. Topic assignments are done by a sentence classifier based on a statistical classification technique, Maximum Entropy (ME), combined with multiple linguistic features. We ran experiments to evaluate the proposed method and its impact on application tasks, passage retrieval and template-filling for question answering. The experimental result shows that our semantic passage retrieval method using topic matching is more useful than fixed length passage retrieval. With the template-filling task used for information extraction in the QA system, the value of the sentence topic assignment method was reinforced.
Journal: Information Sciences - Volume 177, Issue 18, 15 September 2007, Pages 3696–3717