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"Laughing at you or with you": The Role of Sarcasm in Shaping the Disagreement Space ...
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Minimally-Supervised Morphological Segmentation using Adaptor Grammars with Linguistic Priors ...
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3
Don't Go Far Off: An Empirical Study on Neural Poetry Translation ...
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4
Figurative Language in Recognizing Textual Entailment ...
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5
Multi-Task Learning and Adapted Knowledge Models for Emotion-Cause Extraction ...
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Weakly-Supervised Methods for Suicide Risk Assessment: Role of Related Domains ...
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7
Don't Go Far Off: An Empirical Study on Neural Poetry Translation ...
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8
ENTRUST: Argument Reframing with Language Models and Entailment ...
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9
Metaphor Generation with Conceptual Mappings ...
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10
Implicit Premise Generation with Discourse-aware Commonsense Knowledge Models ...
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11
ENTRUST: Argument Reframing with Language Models and Entailment ...
NAACL 2021 2021; Chakrabarty, Tuhin; Hidey, Christopher. - : Underline Science Inc., 2021
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Metaphor Generation with Conceptual Mappings ...
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13
$R^3$: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge ...
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14
Fact vs. Opinion: the Role of Argumentation Features in News Classification ...
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15
DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking ...
Abstract: The increased focus on misinformation has spurred development of data and systems for detecting the veracity of a claim as well as retrieving authoritative evidence. The Fact Extraction and VERification (FEVER) dataset provides such a resource for evaluating end-to-end fact-checking, requiring retrieval of evidence from Wikipedia to validate a veracity prediction. We show that current systems for FEVER are vulnerable to three categories of realistic challenges for fact-checking -- multiple propositions, temporal reasoning, and ambiguity and lexical variation -- and introduce a resource with these types of claims. Then we present a system designed to be resilient to these "attacks" using multiple pointer networks for document selection and jointly modeling a sequence of evidence sentences and veracity relation predictions. We find that in handling these attacks we obtain state-of-the-art results on FEVER, largely due to improved evidence retrieval. ... : ACL 2020 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/2004.12864
https://dx.doi.org/10.48550/arxiv.2004.12864
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16
Interpreting Verbal Irony: Linguistic Strategies and the Connection to the Type of Semantic Incongruity ...
Ghosh, Debanjan; Musi, Elena; Upasani, Kartikeya. - : University of Mass Amherst, 2020
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17
Interpreting Verbal Irony: Linguistic Strategies and the Connection to the Type of Semantic Incongruity
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18
Interpreting Verbal Irony: Linguistic Strategies and the Connection to the Type of Semantic Incongruity
In: Proceedings of the Society for Computation in Linguistics (2020)
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19
Interpreting Verbal Irony: Linguistic Strategies and the Connection to the Type of Semantic Incongruity ...
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20
Sarcasm Analysis using Conversation Context ...
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