Scaling question answering to the web
ACM Transactions on Information Systems (TOIS)
Mining Answers in German Web Pages
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
The role of lexico-semantic feedback in open-domain textual question-answering
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Knowledge Representation and the Semantics of Natural Language (Cognitive Technologies)
Knowledge Representation and the Semantics of Natural Language (Cognitive Technologies)
Overview of the CLEF 2004 multilingual question answering track
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
Question answering using sentence parsing and semantic network matching
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
Does english help question answering in spanish?
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
Question answering pilot task at CLEF 2004
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
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This paper describes how a question answering (QA) system developed for small-sized document collections of several million sentences was modified in order to work with a monolingual subset of the web. The basic QA system relies on complete sentence parsing, inferences, and semantic representation matching. The extensions and modifications needed for useful and quick answers from web documents are discussed. The main extension is a two-level approach that first accesses a web search engine and downloads some of its document hits and then works similar to the basic QA system. Most modifications are restrictions like a maximal number of documents and a maximal length of investigated document parts; they ensure acceptable answer times. The resulting web QA system is evaluated on the German test collection from QA@CLEF 2004. Several parameter settings and strategies for accessing the web search engine are investigated. The main results are: precision-oriented extensions and experimentally derived parameter settings are needed to achieve similar performance on the web as on small-sized document collections that show higher homogeneity and quality of the contained texts; adapting a semantic QA system to the web is feasible, but answering a question is still expensive in terms of bandwidth and CPU time.