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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
Statistical modality tagging from rule-based annotations and crowdsourcing ...
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5
Use of Modality and Negation in Semantically-Informed Syntactic MT ...
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6
A Modality Lexicon and its use in Automatic Tagging ...
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7
Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach ...
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8
Computing Lexical Contrast ...
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9
Use of Modality and Negation in Semantically-Informed Syntactic MT
In: DTIC (2012)
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10
Statistical Modality Tagging from Rule-based Annotations and Crowdsourcing
Prabhakaran, Vinodkumar; Bloodgood, Michael; Diab, Mona. - : Association for Computational Linguistics, 2012
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11
Use of Modality and Negation in Semantically-Informed Syntactic MT
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12
Citation Handling: Processing Citation Texts in Scientific Documents
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13
Measuring Degrees of Semantic Opposition ...
Mohammad, Saif M.; Dorr, Bonnie J.; Hirst, Graeme. - : National Research Council Canada, 2011
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14
Citation Handling for Improved Summarization of Scientific Documents
Abstract: In this paper we present the first steps toward improving summarization of scientific documents through citation analysis and parsing. Prior work (Mohammad et al., 2009) argues that citation texts (sentences that cite other papers) play a crucial role in automatic summarization of a topical area, but did not take into account the noise introduced by the citations themselves. We demonstrate that it is possible to improve summarization output through careful handling of these citations. We base our experiments on the application of an improved trimming approach to summarization of citation texts extracted from Question-Answering and Dependency-Parsing documents. We demonstrate that confidence scores from the Stanford NLP Parser (Klein and Manning, 2003) are significantly improved, and that Trimmer (Zajic et al., 2007), a sentence-compression tool, is able to generate higher-quality candidates. Our summarization output is currently used as part of a larger system, Action Science Explorer (ASE) (Gove, 2011).
URL: http://hdl.handle.net/1903/11822
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15
Interlingual annotation of parallel text corpora: a new framework for annotation and evaluation
In: Natural language engineering. - Cambridge : Cambridge University Press 16 (2010) 3, 197-243
BLLDB
OLC Linguistik
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16
TER-Plus: paraphrase, semantic, and alignment enhancements to translation edit rate
In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 23 (2010) 2-3, 117-127
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OLC Linguistik
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17
Symbolic-to-statistical hybridization: extending generation-heavy machine translation
In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 23 (2010) 1, 23-63
BLLDB
OLC Linguistik
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18
Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach ...
Baker, Kathryn; Bloodgood, Michael; Callison-Burch, Chris. - : Digital Repository at the University of Maryland, 2010
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19
The Circle of Meaning: From Translation to Paraphrasing and Back
Madnani, Nitin. - 2010
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20
Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach
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