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HITIQA: Towards Analytical Question Answering
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In: DTIC (2004)
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| 42 |
HITIQA: An Interactive Question Answering System. A Preliminary Report
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In: DTIC (2003)
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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.
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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
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URL: http://www.dtic.mil/docs/citations/ADA457809
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA457809
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| 43 |
Context-Dependent Lexical Paraphrasing Based on Web Mining
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In: http://ir.hit.edu.cn/~zhaosq/paper/JOSc.pdf
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| 44 |
Paraphrase Collocation Extraction based on Binary Classification *
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In: http://ir.hit.edu.cn/~zhaosq/paper/JOSa.pdf
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| 45 |
Iterative Feedback Based Manifold-Ranking for Update Summary
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In: http://www.gelbukh.com/polibits/37_01.pdf
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| 46 |
Integrating Intra- and Inter-document Evidences for Improving Sentence Sentiment Classification
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In: http://210.29.99.10/ztnews/upfiles/edit/201010/20101020183711.pdf?origin%3Dpublication_detail
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| 47 |
Semantic Role Labeling with Maximum Entropy Classifier
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In: http://ir.hit.edu.cn/~car/papers/me4srl-jos.pdf
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| 48 |
Aligning Bilingual Corpora Using Sentences Location Information*
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In: http://wing.comp.nus.edu.sg/~antho/W/W04/W04-1121.pdf
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