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Answer Passage Retrieval for Question Answering
| Content Provider | Semantic Scholar |
|---|---|
| Author | Corrada-Emmanuel, Andrés Croft, W. Bruce Murdock, Vanessa |
| Copyright Year | 2003 |
| Abstract | Document or passage retrieval is typically used as the first step in current question answering systems. The accuracy of the answer that is extracted from the passages and the efficiency of the question answering process will depend to some extent on the quality of this initial ranking. We show how language model approaches can be used to improve answer passage ranking. In particular, we show how a variety of prior language models trained on correct answer text allow us to incorporate into the retrieval step information that is often used in answer extraction, for example, the presence of tagged entities. We demonstrate the effectiveness of these models on the TREC9 QA Corpus. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://ciir-publications.cs.umass.edu/pub/web/getpdf.php?id=284 |
| Alternate Webpage(s) | http://ciir.cs.umass.edu/pubfiles/ir-283.pdf |
| Alternate Webpage(s) | http://maroo.cs.umass.edu/pdf/IR-283.pdf |
| Alternate Webpage(s) | http://maroo.cs.umass.edu/pub/web/getpdf.php?id=284 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
