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A concise framework of natural language processing /Cheung, Siu-nang, Bruce. January 1989 (has links)
Thesis (M. Phil.)--University of Hong Kong, 1989.
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An architecture for the semantic processing of natural language input to a policy workbench /Custy, E. John. January 2003 (has links) (PDF)
Thesis (M.S. in Software Engineering)--Naval Postgraduate School, March 2003. / Thesis advisor(s): James Bret Michael, Neil C. Rowe. Includes bibliographical references (p. 91-92). Also available online.
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Changing group dynamics through computerized language feedbackTausczik, Yla Rebecca 20 November 2012 (has links)
Why do some groups of people work well together while others do not? It is commonly accepted that effective groups communicate well. Yet one of the biggest roadblocks facing the study of group communication is that it is extremely difficult to capture real-world group interactions and analyze the words people use in a timely manner. This project overcame this limitation in two ways. First, a broader and more systematic study of group processes was conducted by using a computerized text analysis program (Linguistic Inquiry and Word Count) that automatically codes natural language using pre-established rules. Groups that work well together typically exchange more knowledge and establish good social relationships, which is reflected in the way that they use words. The group dynamics of over 500 student discussion groups interacting via group chat were assessed by studying their language use. Second, a language feedback system was built to experimentally test the importance of certain group processes on group satisfaction and performance. It is now possible to provide language feedback by processing natural language dialogue using computerized text analysis in real time. The language feedback system can change the way the group works by providing individualized recommendations. In this way it is possible to manipulate group processes naturalistically. Together these studies provided evidence that important group processes can be detected even using simplistic natural language processing, and preliminary evidence that providing real-time feedback based on the words students use in a group discussion can improve learning by changing how the group works together. / text
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A concise framework of natural language processing張少能, Cheung, Siu-nang, Bruce. January 1989 (has links)
published_or_final_version / Computer Science / Master / Master of Philosophy
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A hybrid approach to fuzzy name search incorporating language-based and textbased principlesWu, Paul Horng Jyh, Na, Jin Cheon, Khoo, Christopher S.G. January 2007 (has links)
Name Search is an important search function in various types of information retrieval systems, such as
online library catalogs and electronic yellow pages. It is also difficult due to the high degree of fuzziness
required in matching name variants. Previous approaches to name search systems use ad hoc
combinations of search heuristics. This paper first discusses two approaches to name modelingâ the
natural language processing (NLP) and the information retrieval (IR) modelsâ and proposes a hybrid
approach. The approach demonstrates a critical combination of complementary NLP and IR features that
produces more effective fuzzy name matching. Two principles, position-as-attribute and position-transitionlikelihood,
are introduced as the principles for integrating the advantageous aspects of both approaches.
They have been implemented in an NLP- and IR- hybrid model system called Friendly Name Search (FNS)
for real world applications in multilingual directory searches on the Singapore Yellow pages website.
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A shallow parser based on closed-class words to capture relations in biomedical textLeroy, Gondy, Chen, Hsinchun, Martinez, Jesse D. 06 1900 (has links)
Artificial Intelligence Lab, Department of MIS, University of Arizona / Natural language processing for biomedical text currently focuses mostly on entity and relation extraction. These entities and
relations are usually pre-specified entities, e.g., proteins, and pre-specified relations, e.g., inhibit relations. A shallow parser that
captures the relations between noun phrases automatically from free text has been developed and evaluated. It uses heuristics and a
noun phraser to capture entities of interest in the text. Cascaded finite state automata structure the relations between individual
entities. The automata are based on closed-class English words and model generic relations not limited to specific words. The parser
also recognizes coordinating conjunctions and captures negation in text, a feature usually ignored by others. Three cancer
researchers evaluated 330 relations extracted from 26 abstracts of interest to them. There were 296 relations correctly extracted from
the abstracts resulting in 90% precision of the relations and an average of 11 correct relations per abstract.
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Simplifying natural language for aphasic readersDevlin, Siobhan Lucy January 1999 (has links)
No description available.
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Knowledge intensive natural language generation with revision /Cline, Ben E. January 1994 (has links)
Thesis (Ph. D.)--Virginia Polytechnic Institute and State University, 1994. / Vita. Abstract. Includes bibliographical references (leaves 143-146). Also available via the Internet.
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A caption-based natural-language interface handling descriptive captions for a multimedia database system /Dulle, John David. January 1990 (has links)
Thesis (M.S. in Computer Science)--Naval Postgraduate School, June 1990. / Thesis Advisor(s): Lum, Vincent Y. ; Rowe, Neil C. "June 1990." Description based on signature page. DTIC Identifiers: Interfaces, natural language, databases, theses. Author(s) subject terms: Natural language processing, multimedia database system, natural language interface, descriptive captions. Includes bibliographical references (p. 27).
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Word sense selection in texts an integrated model /Kwong, Oi Yee. January 1900 (has links)
Thesis (Ph. D.)--University of Cambridge, 2000. / Cover title. "September 2000." Includes bibliographical references.
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