Tianwang at TREC-2006 QA track
|Tianwang at TREC-2006 QA track|
|Author(s)||He J., Liu Y.|
|Published in||NIST Special Publication|
|Keyword(s)||Unknown (Extra: Design and implements, High quality, Knowledge sources, Main tasks, NAtural language processing, QA tracks, Query generation, Translation algorithms, Wikipedia, Algorithms, Natural language processing systems, Information retrieval)|
|Article||BASE, CiteSeerX, Google Scholar|
|Web||Ask, Bing, Google (PDF), Yahoo!|
|Download and mirrors|
|Local copy||Not available|
|Remote mirror(s)||Not available|
|Export and share|
|BibTeX, CSV, RDF, JSON|
|Browse properties · List of conference papers|
This paper describes the architecture and implementation of Tianwang QA system2006, which works for the TREC QA Main task this year. The main improvement is: 1. add one well founded knowledge source from Web - Wikipedia, and employ some natural language processing technologies to extract high quality answers; 2. design and implement a new translation algorithm in query generation. The results show that fine organized knowledge source is effective in answering all three types of questions. And such query generation algorithm can be benefit from both Frequent Asked Questions on Web and past TREC QA data.
- This section requires expansion. Please, help!
Probably, this publication is cited by others, but there are no articles available for them in WikiPapers.