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INEX Tweet Contextualization Task: Evaluation, Results and Lesson Learned
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In: ISSN: 0306-4573 ; Information Processing and Management ; https://hal-amu.archives-ouvertes.fr/hal-01479297 ; Information Processing and Management, Elsevier, 2016, 52 (5), pp.801-819. ⟨10.1016/j.ipm.2016.03.002⟩ (2016)
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Methods for open information extraction and sense disambiguation on natural language text ; Methoden der Offenen Informationsextraktion und Bedeutungsdisambiguierung in Texten
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Overview of INEX Tweet Contextualization 2013 track
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In: Working Notes for CLEF 2013 Conference ; Conference on Multilingual and Multimodal Information Access Evaluation - CLEF 2013 ; https://hal.archives-ouvertes.fr/hal-01140592 ; Conference on Multilingual and Multimodal Information Access Evaluation - CLEF 2013, Sep 2013, Valencia, Spain. pp. 1-4 (2013)
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Integrating Syntax, Semantics, and Discourse DARPA Natural Language Understanding Program. Volume 1
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In: DTIC AND NTIS (1987)
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AUTOMATIC DOMAIN SPECIFIC TERMINOLOGY EXTRACTION USING A DECISION SUPPORT SYSTEM
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In: http://www.cs.bham.ac.uk/~isb855/papers/Domain Specific Terminology.pdf
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Speech Language Context Understanding using a Rule Based Framework
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In: http://www.cs.bham.ac.uk/~isb855/papers/05 - Text Understanding.pdf
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Abstract:
Speech language or Natural language contents are being used as a major tool of communication. This paper presents a natural language processing based automated system for understanding speech language text. Speech language contents are comprehended by analyzing the given textual scenario provided by the user. A new rule based model is presented for analyzing the natural languages and extracting the relative and required information from the given requirement interpretation by the user. User writes the natural language scenario in simple English in a few paragraphs and the designed system has obvious capability of analyzing the given script by user. After composite analysis and extraction of associated information, the designed system gives particular meanings to an assortment of speech language contents. The designed system has robust ability to understand the given text automatically without user or external environment assistance. The designed system provides a quick and reliable way to comprehend speech language context and generates respective meanings. The application with such abilities can be more intelligent and pertinent specifically for the user to save the time and budget.
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Keyword:
Automatic text understanding; Information extraction; Language engineering; Speech language processing
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.301.4690 http://www.cs.bham.ac.uk/~isb855/papers/05 - Text Understanding.pdf
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