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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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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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Metaphor Generation with Conceptual Mappings ...
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Implicit Premise Generation with Discourse-aware Commonsense Knowledge Models ...
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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 ...
Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.524 Abstract: Generating metaphors is a difficult task as it requires understanding nuanced relationships between abstract concepts. In this paper, we aim to generate a metaphoric sentence given a literal expression by replacing relevant verbs. Guided by conceptual metaphor theory, we propose to control the generation process by encoding conceptual mappings between cognitive domains to generate meaningful metaphoric expressions. To achieve this, we develop two methods: 1) using FrameNet-based embeddings to learn mappings between domains and applying them at the lexical level (CM-Lex), and 2) deriving source/target pairs to train a controlled seq-to-seq generation model (CM-BART). We assess our methods through automatic and human evaluation for basic metaphoricity and conceptual metaphor presence. We show that the unsupervised CM-Lex model is competitive with recent deep learning metaphor generation systems, and CM-BART outperforms all other models both ...
Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics
URL: https://dx.doi.org/10.48448/582f-gh52
https://underline.io/lecture/25750-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 ...
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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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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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Interpreting Verbal Irony: Linguistic Strategies and the Connection to the Type of Semantic Incongruity ...
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Sarcasm Analysis using Conversation Context ...
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