Coling 2008 22 nd International Conference on Computational Linguistics
نویسنده
چکیده
Question Answering (QA) systems are often built modularly, with a text retrieval component feeding forward into an answer extraction component. Conventional wisdom suggests that, the higher the quality of the retrieval results used as input to the answer extraction module, the better the extracted answers, and hence system accuracy, will be. This turns out to be a poor assumption, because text retrieval and answer extraction are tightly coupled. Improvements in retrieval quality can be lost at the answer extraction module, which can not necessarily recognize the additional answer candidates provided by improved retrieval. Going forward, to improve accuracy on the QA task, systems will need greater coordination between text retrieval and answer extraction modules.
منابع مشابه
Coling 2008 22 nd International Conference on Computational Linguistics Proceedings of the workshop on Speech Processing for Safety Critical Translation and Pervasive Applications
The concept classifier has been used as a translation unit in speech-to-speech translation systems. However, the sparsity of the training data is the bottle neck of its effectiveness. Here, a new method based on using a statistical machine translation system has been introduced to mitigate the effects of data sparsity for training classifiers. Also, the effects of the background model which is ...
متن کامل(65) Prior Publication Data Yamamoto Et Al, " Acquisition of Phrase-level Bilingual Correspon Dence Using Dependency Structure " in Proceedings of Coling Us a Method Includes Detecting a Syntactic Chunk in a Source
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متن کاملColing 2008 22 nd International Conference on Computational Linguistics
While large-scale corpora and various corpus query tools have long been recognized as essential language resources, the value of word association norms as language resources has been largely overlooked. This paper conducts some initial comparisons of the lexical relationships observed within Japanese collocation data extracted from a large corpus using the Japanese language version of the Sketc...
متن کاملColing 2008 22 nd International Conference on Computational Linguistics
This paper examines the Stanford typed dependencies representation, which was designed to provide a straightforward description of grammatical relations for any user who could benefit from automatic text understanding. For such purposes, we argue that dependency schemes must follow a simple design and provide semantically contentful information, as well as offer an automatic procedure to extrac...
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Citation Grosz, Barbara, Norman Hass, Gary Hendrix, Jerry Hobbs, Paul Martin, Robert Moore, Jane Robinson, and Stanley Rosenschein. 1982. DIALOGIC: A core natural-language processing system. In COLING 82: Proceedings of the Ninth International Conference on Computational Linguistics, July 5-10, 1982, Prague, ed. International Conference on Computational Linguistics, and Ján Horecký, 95-100, Nor...
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