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From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and Domains ...
Abstract: We present a generalized paradigm for adaptation of propositional analysis (predicate-argument pairs) to new tasks and domains. We leverage an analogy between stances (belief-driven sentiment) and concerns (topical issues with moral dimensions/endorsements) to produce an explanatory representation. A key contribution is the combination of semi-automatic resource building for extraction of domain-dependent concern types (with 2-4 hours of human labor per domain) and an entirely automatic procedure for extraction of domain-independent moral dimensions and endorsement values. Prudent (automatic) selection of terms from propositional structures for lexical expansion (via semantic similarity) produces new moral dimension lexicons at three levels of granularity beyond a strong baseline lexicon. We develop a ground truth (GT) based on expert annotators and compare our concern detection output to GT, to yield 231% improvement in recall over baseline, with only a 10% loss in precision. F1 yields 66% improvement over ... : Accepted to Findings of the Association for Computational Linguistics, 2022 ...
Keyword: 68T50; Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; I.2.7
URL: https://arxiv.org/abs/2203.10659
https://dx.doi.org/10.48550/arxiv.2203.10659
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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
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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
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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
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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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