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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 ...
Abstract: This paper describes the resource- and system-building efforts of an eight-week Johns Hopkins University Human Language Technology Center of Excellence Summer Camp for Applied Language Exploration (SCALE-2009) on Semantically-Informed Machine Translation (SIMT). We describe a new modality/negation (MN) annotation scheme, the creation of a (publicly available) MN lexicon, and two automated MN taggers that we built using the annotation scheme and lexicon. Our annotation scheme isolates three components of modality and negation: a trigger (a word that conveys modality or negation), a target (an action associated with modality or negation) and a holder (an experiencer of modality). We describe how our MN lexicon was semi-automatically produced and we demonstrate that a structure-based MN tagger results in precision around 86% (depending on genre) for tagging of a standard LDC data set. We apply our MN annotation scheme to statistical machine translation using a syntactic framework that supports the inclusion of ... : 28 pages, 13 figures, 2 tables; appeared in Computational Linguistics, 38(2):411-438, 2012 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences; I.2.7; I.2.6; I.5.1; I.5.4; Machine Learning cs.LG; Machine Learning stat.ML
URL: https://arxiv.org/abs/1502.01682
https://dx.doi.org/10.48550/arxiv.1502.01682
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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
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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
BLLDB
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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