We place question answering in information retrieval. It automatically answers a question posed in natural language using a pre-structured database or a collection of natural language documents like the World Wide Web.
Question Answering has been very popular recently, but not in the multilingual research: It has been focused mainly on English. Multilingual QA has been created in the last few years as a complement, allowing users to interact with machines in their native languages to make the searching easier and faster. Also it makes the QA systems able to access information available only in one language.
Some relevant Question Answering engines are AskMeNow, BrainBoost, DeeperWeb, TeLQAS, True Knowledge and Wolfram Alpha.
Sources:
- Question answering. (2009, June 13). In Wikipedia, The Free Encyclopedia. Retrieved 14:02, June 21, 2009, from http://en.wikipedia.org/w/index.php?title=Question_answering&oldid=296213100
- Question answering. (2009). In the 11th Conference of the European Chapter of the Association for Computational Linguistics (EACL) website. Retrieved 14:11, June 21, 2009, from nlp.uned.es/MLQA06/
- Question answering. (2009). In the Text Retrieval Conference (TREC) website. Retrieved 14:09, June 21, 2009, from trec.nist.gov/pubs/trec9/papers/webclopedia.pdf
