Abstract
We introduce shapaqa, a shallow parsing approach to online, open-domain question answering on the WorldWideWeb. Given a form-based natural language question as input, the system uses a memory-based shallow parser to analyze web pages retrieved using normal keyword search on a search engine. Two versions of the system are evaluated on a test set of 200 questions. In combination with two back-off methods a mean reciprocal rank of .46 is achieved.
Original language | English |
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Title of host publication | Proceedings Euroconference |
Subtitle of host publication | Recent Advances in Natural Language Processing, Tsigov Chark, Bulgaria, 5-7 September 2001 |
Editors | G. Angelova, et al. |
Place of Publication | Bulgaria |
Publisher | Tsigov Chark |
Pages | 47-51 |
Number of pages | 5 |
ISBN (Print) | 9789549090611 |
Publication status | Published - 2001 |