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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
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14
Text Summarization Evaluation: Correlating Human Performance on an Extrinsic Task with Automatic Intrinsic Metrics
In: DTIC (2006)
Abstract: This research describes two types of summarization evaluation methods, intrinsic and extrinsic, and concentrates on determining the level of correlation between automatic intrinsic methods and human task-based extrinsic evaluation performance. Suggested experiments and preliminary findings related to exploring correlations and factors affecting correlation (method of summarization, quality of summary, type of intrinsic method used, and genre of source documents) are detailed. A new measurement technique for task-based evaluations, Relevance Prediction, is introduced and contrasted with the current gold-standard based measurements of the summarization evaluation community. Preliminary experimental findings suggest that the Relevance Prediction method yields better performance measurements with human summaries than that of the LDC-Agreement method and that small correlations are seen with one of the automatic intrinsic evaluation metrics and human task-based performance results. ; Additional rept. no. UMIACS-TR-2006-28.
Keyword: *ABSTRACTS; *INFORMATION RETRIEVAL; *LINGUISTICS; *RELEVANCE PREDICTION; *SUMMARIES; *SUMMARIZATION; CORRELATION; Cybernetics; Information Science; PERFORMANCE(HUMAN); PREDICTIONS; TEST AND EVALUATION
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA455670
http://www.dtic.mil/docs/citations/ADA455670
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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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