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Detecting Asks in SE attacks: Impact of Linguistic and Structural Knowledge ...
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Adaptation of a Lexical Organization for Social Engineering Detection and Response Generation ...
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Modeling Leadership Behavior of Players in Virtual Worlds
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In: Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment; Vol. 11 No. 1 (2015): Eleventh Artificial Intelligence and Interactive Digital Entertainment Conference ; 2334-0924 ; 2326-909X (2015)
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HITIQA: A Data Driven Approach to Interactive Analytical Question Answering
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In: DTIC (2004)
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HITIQA: Towards Analytical Question Answering
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In: DTIC (2004)
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HITIQA: An Interactive Question Answering System. A Preliminary Report
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In: DTIC (2003)
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Dialogue Management for an Automated Multilingual Call Center
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In: DTIC (2003)
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Building Effective Queries in Natural Language Information Retrieval
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In: DTIC (1997)
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Natural Language Information Retrieval: Tipster-2 Final Report
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In: DTIC (1996)
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Abstract:
We report on the joint GE/NYU natural language information retrieval project as related to the Tipster Phase 2 research conducted initially at NYU and subsequently at GE R&D Center and NYU. The evaluation results discussed here were obtained in connection with the 3rd and 4th Text Retrieval Conferences (TREC-3 and TREC-4). The main thrust of this project is to use natural language processing techniques to enhance the effectiveness of full-text document retrieval. During the course of the four TREC conferences, we have built a prototype IR system designed around a statistical full-text indexing and search backbone provided by the NIST's Prise engine. The original Prise has been modified to allow handling of multi-word phrases, differential term weighting schemes, automatic query expansion, index partitioning and rank merging, as well as dealing with complex documents. Natural language processing is used to preprocess the documents in order to extract content-carrying terms, discover inter-term dependencies and build a conceptual hierarchy specific to the database domain, and process user's natural language requests into effective search queries.
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Keyword:
*INFORMATION RETRIEVAL; *NATURAL LANGUAGE; INFORMATION PROCESSING; Linguistics
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URL: http://www.dtic.mil/docs/citations/ADA460459 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA460459
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