Abstract
The last decade has seen dramatic changes in the landscape of natural language processing in general and information extraction in particular. Information extraction (IE) systems are designed to extract factual information about a specific domain from text sources. For example, IE systems have been built to extract facts from news reports of terrorist incidents (e.g., extracting the names of the perpetrators, victims, and targets) and business articles about corporate acquisitions (e.g., extracting the acquired company, the buyer, and the amount paid).
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© 2003 Springer-Verlag Berlin Heidelberg
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Riloff, E. (2003). From Manual Knowledge Engineering to Bootstrapping: Progress in Information Extraction and NLP. In: Ashley, K.D., Bridge, D.G. (eds) Case-Based Reasoning Research and Development. ICCBR 2003. Lecture Notes in Computer Science(), vol 2689. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45006-8_3
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DOI: https://doi.org/10.1007/3-540-45006-8_3
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