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From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and Domains ...
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Detecting Asks in SE attacks: Impact of Linguistic and Structural Knowledge ...
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Adaptation of a Lexical Organization for Social Engineering Detection and Response Generation ...
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Use of Modality and Negation in Semantically-Informed Syntactic MT ...
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Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach ...
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Use of Modality and Negation in Semantically-Informed Syntactic MT
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In: DTIC (2012)
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The ACL Anthology Reference Corpus: A Reference Dataset for Bibliographic Research in Computational Linguistics
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Measuring Variability in Sentence Ordering for News Summarization
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Abstract:
The issue of sentence ordering is an important one for natural language tasks such as multi-document summarization, yet there has not been a quantitative exploration of the range of acceptable sentence orderings for short texts. We present results of a sentence reordering experiment with three experimental conditions. Our findings indicate a very high degree of variability in the orderings that the eighteen subjects produce. In addition, the variability of reorderings is significantly greater when the initial ordering seen by subjects is different from the original summary. We conclude that evaluation of sentence ordering should use multiple reference orderings. Our evaluation presents several metrics that might prove useful in assessing against multiple references. We conclude with a deeper set of questions: (a) what sorts of independent assessments of quality of the different reference orderings could be made and (b) whether a large enough test set would obviate the need for such independent means of quality assessment.
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Keyword:
Computer science; Information technology
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URL: https://doi.org/10.7916/D8NK3PHX
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Multiple Alternative Sentene Compressions as a Tool for Automatic Summarization Tasks
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Text Summarization Evaluation: Correlating Human Performance on an Extrinsic Task with Automatic Intrinsic Metrics
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Text Summarization Evaluation: Correlating Human Performance on an Extrinsic Task with Automatic Intrinsic Metrics
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In: DTIC (2006)
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Combining Linguistic and Machine Learning Techniques for Word Alignment Improvement
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Use of Minimal Lexical Conceptual Structures for Single-Document Summarization
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In: DTIC (2004)
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Symbolic MT With Statistical NLP Components
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In: DTIC (2004)
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Use of OCR for Rapid Construction of Bilingual Lexicons
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In: DTIC (2003)
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