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.
|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|
|Number of pages||5|
|Publication status||Published - 2001|