Titlebook: Information Extraction; Towards Scalable, Ad Maria Teresa Pazienza Conference proceedings 1999 Springer-Verlag Berlin Heidelberg 1999 compu

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Natural Language Processing and Information Retrieval,implicit linguistic processing inherent in the statistical methods. Natural language processing techniques may be more important for related tasks such as question answering or document summarization.

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Can We Make Information Extraction More Adaptive?,out the same position as Information Retrieval and Machine Translation, both of which are widely used commercially. There is also a clear range of practical applications that would be eased by the sort of template-style data that IE provides. The problem for wider deployment of the technology is ada

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Natural Language Processing and Information Retrieval,ts. Currently, the most successful general purpose retrieval methods are statistical methods that treat text as little more than a bag of words. However, attempts to improve retrieval performance through more sophisticated linguistic processing have been largely unsuccessful. Indeed, unless done car

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