J. Cowie and Y. Wilks. Information extraction. In R. Dale, H. Moisl, and H. Somers, editors, Handbook of Natural Language Processing. Marcel Dekker, New York, 2000. Home/Search Document Details and Download
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....can be harnessed to indentify logical representations of news from news reports in the form of free text. Information extraction is based on natural language processing, and by focussing on restricted domains such as on news reports from online newsfeeds, it can give impressive performance [8, 14, 2]. However, handling textual news reports is only one application of ramification analysis. Potentially, the approach could be used by intelligent systems such as robotic systems, surveillance systems, and monitoring systems, where the news is obtained from various kinds of sensors such as ....
....An instantiated Template for Summary company target Marsem Pharmaceuticals Inc. company predator Schein Pharmaceuticals Inc. type of takeover Friendly value 240 million dollars Table 5: An instantiated Template for Takeover highlighting pertinent points, and removing superfluous information [8, 14, 2]. In this section, we consider integrating ramification analysis with information extraction, by feeding extracted information directly into a ramification analysis knowledgebase. As an example of an information extraction system, we consider LOLITA (Large scale Objectbased Linguistic Interactor ....
J Cowie and W Lehnert. Information extraction. Communications of the ACM, 39:81--91, 1996.
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....may characterize posted information differently, so that a single, author supplied meta description will not be sufficient for all potential uses of the information. Other approaches include virtual database technology [GHR97] Web data modeling (e.g. AMM97] natural language processing (e.g. CL96] semistructured and Web query languages (e.g. ACC 97] and the mediator related concept of wrappers (e.g. AK97] # Supported in part by the National Science Foundation under grant IIS 0083127 and by the Kevin and Debra Rollins Center for eBusiness at Brigham Young University. See ....
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....in multiple formats. Evidence extraction (EE) is the task of obtaining structured evidence data from unstructured, natural language documents. EE builds on information extraction technology developed under DARPA s earlier MUC (Message Understanding Conference) programs [Lehnert Sundheim1991, Cowie Lehnert1996] and the current ACE (Automated Content Extraction) program at the National Institute of Standards and Technology (NIST) NIST] Link Discovery (LD) is the task of identifying known, complex, multi relational patterns that indicate potentially threatening activities in large amounts of relational ....
Cowie, J., and Lehnert, W. 1996. Information extraction. Communications of the ACM 39(1):80--91.
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....describelaptopcomputers. A principle goal of this work is the separation of different components of the information extraction task so as to increase portability. Keywords Information extraction, natural language generation, document personalisation. 1 Introduction Information Extraction (ie [1]# the process of identifying a pre specified set of key data elements from a free text data source) is widely recognised as one of the more successfulspin off technologies to come from the field of natural language processing. The darpa funded Message Understanding Conferences resulted in a ....
J. Cowie and W. Lehnert. Information extraction. Communications of the ACM,Volume 39, Number 1, pages 80--91, 1996.
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