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1
Story Link Detection and New Event Detection are Asymmetric
In: DTIC (2003)
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2
A Noisy-Channel Approach to Question Answering
In: DTIC (2003)
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3
Utterance Classification in Auto Tutor
In: DTIC (2003)
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4
Hedge Trimmer: A Parse-and-Trim Approach to Headline Generation
In: DTIC (2003)
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5
The Benefit of Ontologies for Interoperability of CCIS. (Easy, Quick and Cheap Solutions are Impossible, if Semantics of CCIS are Affected.)
In: DTIC (2003)
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6
UMass at TREC 2003: HARD and QA
In: DTIC (2003)
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7
HowtogetaChineseName(Entity): Segmentation and Combination Issues
In: DTIC (2003)
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8
Multimodal Speaker Authentication using Nonacoustic Sensors
In: DTIC (2003)
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9
Combining Cross-Stream And Time Dimensions In Phonetic Speaker Recognition
In: DTIC (2003)
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10
Predictors of Plebe Summer Attrition at the United States Naval Academy
In: DTIC AND NTIS (2003)
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11
Spatial Language for Human-Robot Dialogs
In: DTIC AND NTIS (2003)
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12
Intelligence Cooperation in the Asia-Pacific Region: Establishing a Framework for Multilateralism
In: DTIC (2003)
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13
Exercising a Native Intelligence Metric on an Autonomous On-Road Driving System
In: DTIC (2003)
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14
Integration of Language and Cognition at Pre-Conceptual Level
In: DTIC (2003)
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15
HITIQA: An Interactive Question Answering System. A Preliminary Report
In: DTIC (2003)
Abstract: HITIQA is an interactive question answering technology designed to allow intelligence analysts and other users of information systems to pose questions in natural language and obtain relevant answers, or the assistance they require in order to perform their tasks. Our objective in HITIQA is to allow the user to submit exploratory, analytical, non-factual questions, such as "What has been Russia's reaction to U.S. bombing of Kosovo?" The distinguishing property of such questions is that one cannot generally anticipate what might constitute the answer. While certain types of things may be expected (e.g., diplomatic statements), the answer is heavily conditioned by what information is in fact available on the topic. From a practical viewpoint, analytical questions are often underspecified, thus casting a broad net on a space of possible answers. Therefore, clarification dialogue is often needed to negotiate with the user the exact scope and intent of the question. ; Presented at the Annual Meeting of the Association for Computational Linguistics (41st), Workshop on Multilingual Summarization and Question Answering held in Sapporo, Japan on 11-12 Jul 2003. Published in the Proceedings of ACL 2003 Workshop on Multilingual Summarization and Question Answering, v12, p46-53, 2004.
Keyword: *ANALYTICAL QUESTIONS; *INFORMATION RETRIEVAL; *NATURAL LANGUAGE; *QUESTION ANSWERING; AUTOMATION; CLUSTERING; Computer Programming and Software; Computer Systems; DIALOGUE; FRAMES; Information Science; INFORMATION SYSTEMS; MAN COMPUTER INTERFACE; SEMANTICS; SYMPOSIA; TEXT FRAMING
URL: http://www.dtic.mil/docs/citations/ADA457809
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA457809
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16
Dialogue Management for an Automated Multilingual Call Center
In: DTIC (2003)
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