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1062 |
An Investigation of an ESL Placement Test of Writing Using Many-facet Rasch Measurement
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1063 |
Journal of Neuroscience Methods 139 (2004) 111–120 Multivariate tests for the evaluation of high-dimensional EEG data
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In: http://www.univie.ac.at/mcogneu/art/hemmelmann-04.pdf (2004)
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1069 |
An Investigation of an ESL Placement Test of Writing Using Many-facet Rasch Measurement ...
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1070 |
Syntactic Simplification for Improving Content Selection in Multi-Document Summarization
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In: DTIC (2004)
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Abstract:
In this paper, we explore the use of automatic syntactic simplification for improving content selection in multi-document summarization. In particular, we show how simplifying parentheticals by removing relative clauses and appositives results in improved sentence clustering, by forcing clustering based on central rather than background information. We argue that the inclusion of parenthetical information in a summary is a reference-generation task rather than a content-selection one, and implement a baseline reference rewriting module. We perform our evaluations on the test sets from the 2003 and 2004 Document Understanding Conference and report that simplifying parentheticals results in significant cant improvement on the automated evaluation metric Rouge. Syntactic simplification is an NLP task, the goal of which is to rewrite sentences to reduce their grammatical complexity while preserving their meaning and information content. Text simplification is a useful task for varied reasons. Chandrasekar et al. (1996) viewed text simplification as a preprocessing tool to improve the performance of their parser. The PSET project (Carroll et al., 1999), on the other hand, focused its research on simplifying newspaper text for aphasics, who have trouble with long sentences and complicated grammatical constructs. We have previously (Siddharthan, 2002; Siddharthan, 2003) developed a shallow and robust syntactic simplification system for news reports, that simplifies relative clauses, apposition and conjunction. In this paper, we explore the use of syntactic simplification in multi-document summarization.
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Keyword:
*LINGUISTICS; *NATURAL LANGUAGE; *SYNTAX; AUTOMATIC; BASE LINES; CLUSTERING; GRAMMARS; Linguistics; PARSERS; PREPROCESSING; SELECTION; SIMPLIFICATION; TEST SETS; TOOLS; WORDS(LANGUAGE)
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA457833 http://www.dtic.mil/docs/citations/ADA457833
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1071 |
Minimum Bayes-Risk Decoding for Statistical Machine Translation
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In: DTIC (2004)
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1072 |
Test-Retest Reliability of Pure-Tone Thresholds from 0.5 to 16 kHz using Sennheiser HDA 200 and Etymotic Research ER-2 Earphones
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In: ETSU Faculty Works (2004)
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1073 |
HITIQA: Towards Analytical Question Answering
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In: DTIC (2004)
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1074 |
CADRE Quick-Look: Foreign Language Posture in the US Air Force
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In: DTIC (2004)
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1075 |
Cross-Document Coreference on a Large Scale Corpus
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In: DTIC (2004)
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1076 |
Conversational Telephone Speech Corpus Collection for the NIST Speaker Recognition Evaluation 2004
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In: DTIC (2004)
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1077 |
CADRE Quick-Look: Suggestions for Language Transformation in the US Air Force
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In: DTIC (2004)
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1078 |
Stochastic Language Generation in a Dialogue System: Toward a Domain Independent Generator
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In: DTIC (2004)
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1079 |
Spoken Dialogue for Simulation Control and Conversational Tutoring
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In: DTIC (2004)
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1080 |
Generic Sentence Fusion is an Ill-Defined Summarization Task
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In: DTIC (2004)
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