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Relevance Feedback based on Constrained Clustering: FDU at TREC 09
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In: DTIC (2009)
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| 2 |
A Journey in Entity Related Retrieval for TREC 2009
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In: DTIC (2009)
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| 3 |
Lucene for n-grams using the ClueWeb Collection
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In: DTIC (2009)
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| 4 |
BIT at TREC 2009 Faceted Blog Distillation Task
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In: DTIC (2009)
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| 5 |
IRRA at TREC 2009: Index Term Weighting based on Divergence From Independence Model
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In: DTIC (2009)
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| 6 |
POSTECH at TREC 2009 Blog Track: Top Stories Identification
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In: DTIC (2009)
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| 7 |
PRIS at 2009 Relevance Feedback track: Experiments in Language Model for Relevance Feedback
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In: DTIC (2009)
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| 8 |
Experiments on Related Entity Finding Track at TREC 2009
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In: DTIC (2009)
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| 9 |
Facet Classification of Blogs: Know-Center at the TREC 2009 Blog Distillation Task
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In: DTIC (2009)
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| 10 |
Comparing Evaluation Metrics for Sentence Boundary Detection
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In: DTIC (2007)
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| 12 |
Measuring Translation Quality by Testing English Speakers with a New Defense Language Proficiency Test for Arabic
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In: DTIC (2005)
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| 13 |
Measuring Human Readability of Machine Generated Text: Three Case Studies in Speech Recognition and Machine Translation
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In: DTIC (2005)
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| 14 |
Uses of the Diagnostic Rhyme Test (English Version) for Predicting the Effects of Communicators' Linguistic Backgrounds on Voice Communications in English: An Exploratory Study
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In: DTIC (2000)
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| 15 |
The Bible, Truth, and Multilingual OCR Evaluation
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In: DTIC (1998)
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| 17 |
Tipster Shogun System (Joint GE-CMU): MUC-4 Test Results and Analysis
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In: DTIC (1992)
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| 18 |
GE-CMU: Description of the Tipster/Shogun System as Used for MUC-4
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In: DTIC (1992)
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| 20 |
Overview of the Fourth Message Understanding Evaluation and Conference
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In: DTIC AND NTIS (1992)
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Abstract:
The Fourth Message Understanding Conference (MUC-4) is the latest in a series of conferences that concern the evaluation of natural language processing (NLP) systems. These conferences have reported on progress being made both in the development of systems capable of analyzing relatively short English texts and in the definition of a rigorous performance evaluation methodology. MUC-4 was preceded by a period of intensive system development by each of the participating organizations and blind testing using materials prepared by NRaD and SAIC that are described in this paper, other papers in this volume, and the MUC-3 proceedings. The overall objective of the evaluations is to advance our understanding of the merits of current text analysis techniques, as applied to the performance of a realistic information extraction task. As a task, information extraction requires 'understanding' of the texts, but it presents a more limited challenge than would a task requiring production of an in-depth representation of the contents of complete texts. The inputs to the analysis/ extraction process consist of naturally-occurring newswire texts that were obtained in electronic form. The outputs of the process are a set of templates or semantic frames resembling the contents of a partially formatted database. ; Availability: Pub. in Proceedings of the Fourth Message Understanding Conference, p3-21, Jun 1992.
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Keyword:
*MESSAGE PROCESSING; *NATURAL LANGUAGE; *TEXT PROCESSING; Linguistics; PE62301E; REPRINTS; SYMPOSIA; TEST AND EVALUATION; WUDN309111
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA265048
http://www.dtic.mil/docs/citations/ADA265048
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