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Towards Collaboration with Robots in Shared Space: Spatial Perspective and Frames of Reference
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In: DTIC (2005)
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87 |
Human Language Technology: Opportunities and Challenges
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In: DTIC (2005)
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89 |
Una aproximación multilingüe a la clasificación de preguntas basada en aprendizaje automático
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90 |
Automatic text categorisation of racist webpages
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Greevy, Edel. - : Dublin City University. School of Computing, 2004
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In: Greevy, Edel (2004) Automatic text categorisation of racist webpages. Master of Science thesis, Dublin City University. (2004)
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Analysis of Statistical Question Classification for Fact-based Questions
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In: http://ciir.cs.umass.edu/pubfiles/ir-323.pdf (2004)
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92 |
Semantic Lexicon Construction: Learning from Unlabeled Data via Spectral Analysis
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In: DTIC (2004)
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93 |
Semantic Role Labeling via Integer Linear Programming Inference
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In: DTIC (2004)
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94 |
Learning to Identify TV News Monologues by Style and Context
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In: DTIC (2003)
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95 |
Linguistic Resource Creation for Research and Technology Development: A Recent Experiment
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In: DTIC (2003)
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Abstract:
Advances in statistical machine learning encourage language-independent approaches to linguistic technology development. Experiments in porting technologies to handle new natural languages have revealed a great potential for multilingual computing, but also a frustrating lack of linguistic resources for most languages. Recent efforts to address the lack of available resources have focused either on intensive resource development for a small number of languages or development of technologies for rapid porting. The Linguistic Data Consortium recently participated in an experiment falling primarily under the first approach, the surprise language exercise. This article describes linguistic resource creation within this context, including the overall methodology for surveying and collecting language resources, as well as details of the resources developed during the exercise. The article concludes with discussion of a new approach to solving the problem of limited linguistic resources, one that has recently proven effective in identifying core linguistic resources for less common studied languages. MACHINE TRANSLATION, LANGUAGE PARSING AND UNDERSTANDING, TEXT ANALYSIS, LINGUISTIC RESOURCES, HINDI, CEBUANO, TRANSLINGUAL INFORMATION ACCESS TECHNOLOGY, MACHINE TRANSLATION, CROSSLANGUAGE INFORMATION RETRIEVAL, INFORMATION EXTRACTION, SUMMARIZATION ; The original document contains color images.
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Keyword:
*LANGUAGE PARSING AND UNDERSTANDING; *MACHINE TRANSLATION; *NATURAL LANGUAGE; *TEXT PROCESSING; ACCESS; CEBUANO; Computer Programming and Software; CONSORTIUMS; CORES; CROSSLANGUAGE INFORMATION EXTRACTION; EXTRACTION; HINDI; INFORMATION RETRIEVAL; LANGUAGE; LEARNING MACHINES; LINGUISTIC RESOURCES; Linguistics; PARSERS; RESOURCES; STATISTICS; SUMMARIZATION; SURVEYS; TEXT ANALYSIS; TEXTBOOKS; TRANSLINGUAL *INFORMATION ACCESS TECHNOLOGY
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URL: http://www.dtic.mil/docs/citations/ADA458886 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA458886
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Word-level Alignment for Multilingual Resource Acquisition
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In: DTIC (2002)
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Early Pragmatic Language Development for an Infant Robot
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In: DTIC (2002)
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Intelligent Record Linkage Techniques Based on Information Retrieval, Natural Language Processing, and Machine Learning
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In: DTIC AND NTIS (2002)
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