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From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and Domains ...
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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 ...
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Keyword:
68T50; Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; I.2.7
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URL: https://arxiv.org/abs/2203.10659 https://dx.doi.org/10.48550/arxiv.2203.10659
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Detecting Asks in SE attacks: Impact of Linguistic and Structural Knowledge ...
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Adaptation of a Lexical Organization for Social Engineering Detection and Response Generation ...
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Statistical modality tagging from rule-based annotations and crowdsourcing ...
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Use of Modality and Negation in Semantically-Informed Syntactic MT ...
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Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach ...
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Use of Modality and Negation in Semantically-Informed Syntactic MT
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In: DTIC (2012)
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Statistical Modality Tagging from Rule-based Annotations and Crowdsourcing
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Use of Modality and Negation in Semantically-Informed Syntactic MT
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Citation Handling: Processing Citation Texts in Scientific Documents
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Citation Handling for Improved Summarization of Scientific Documents
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Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach ...
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The Circle of Meaning: From Translation to Paraphrasing and Back
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Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach
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