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1
From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and Domains ...
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2
Detecting Asks in SE attacks: Impact of Linguistic and Structural Knowledge ...
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3
Adaptation of a Lexical Organization for Social Engineering Detection and Response Generation ...
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4
Use of Modality and Negation in Semantically-Informed Syntactic MT ...
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5
A Modality Lexicon and its use in Automatic Tagging ...
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6
Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach ...
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7
Computing Lexical Contrast ...
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8
Use of Modality and Negation in Semantically-Informed Syntactic MT
In: DTIC (2012)
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9
Measuring Degrees of Semantic Opposition ...
Mohammad, Saif M.; Dorr, Bonnie J.; Hirst, Graeme. - : National Research Council Canada, 2011
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10
The ACL Anthology Reference Corpus: A Reference Dataset for Bibliographic Research in Computational Linguistics
Bird, Steven; Dale, Robert; Dorr, Bonnie J. - : Paris : European Language Resources Association (ELRA), 2008
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11
Measuring Variability in Sentence Ordering for News Summarization
Klavans, Judith L.; Madnani, Nitin; Passonneau, Rebecca. - : Proceeding ENLG '07 Proceedings of the Eleventh European Workshop on Natural Language Generation, 2007
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12
Multiple Alternative Sentene Compressions as a Tool for Automatic Summarization Tasks
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13
Text Summarization Evaluation: Correlating Human Performance on an Extrinsic Task with Automatic Intrinsic Metrics
Hobson, Stacy. - 2007
Abstract: Text summarization evaluation is the process of assessing the quality of an individual summary produced by human or automatic methods. Many techniques have been proposed for text summarization and researchers require an easy and uniform method for evaluation of their summarization systems. Human evaluations are often costly, labor-intensive and time-consuming, but are known to produce the most accurate results. Automatic evaluations are fast, easy to use and reusable, but the quality of their results have not been independently shown to be similar to that of human evaluations. This thesis introduces a new human task-based summarization evaluation measure called Relevance Prediction that is a more intuitive measure of an individual's performance on a real-world task than agreement based on external judgments. Relevance Prediction parallels what a user does in the real world task of browsing a set of documents using standard search tools, i.e., the user judges relevance based on a short summary and then that same user---not an independent user---decides whether to open (and judge) the corresponding document. This measure is shown to be a more reliable measure of task performance than LDC Agreement, a current external gold-standard based measure used in the summarization evaluation community. Six experimental studies are conducted to examine the existence of correlations between the human task-based evaluations of text summarization and the output of current intrinsic automatic evaluation metrics. The experimental results indicate that moderate, yet consistent correlations exist between the Relevance-Prediction method and the ROUGE metric for single-document summarization. This work also formally establishes the usefulness of text summarization in reducing task time while maintaining a similar level of task judgment accuracy as seen with the full text documents.
Keyword: Computer Science; Relevance Prediction; Text Summarization Evaluation
URL: http://hdl.handle.net/1903/7623
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14
Text Summarization Evaluation: Correlating Human Performance on an Extrinsic Task with Automatic Intrinsic Metrics
In: DTIC (2006)
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15
Deriving verbal and compositional lexical aspect for NLP applications
In: The language of time (Oxford, 2005), p. 115-128
MPI für Psycholinguistik
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16
Combining Linguistic and Machine Learning Techniques for Word Alignment Improvement
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17
Use of Minimal Lexical Conceptual Structures for Single-Document Summarization
In: DTIC (2004)
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18
Symbolic MT With Statistical NLP Components
In: DTIC (2004)
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19
Inducing Semantic Frames from Lexical Resources
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20
Use of OCR for Rapid Construction of Bilingual Lexicons
In: DTIC (2003)
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