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., Iryna (6)
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021 (6)
., Sebastian (1)
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Simple Search
Hits 1 – 6 of 6
1
The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
., Iryna
;
Reimers, Nils
. - : Underline Science Inc., 2021
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2
Green NLP panel ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
., Iryna
;
Arase, Yuki
. - : Underline Science Inc., 2021
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3
Investigating label suggestions for opinion mining in German Covid-19 social media ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
., Iryna
;
Beck, Tilman
. - : Underline Science Inc., 2021
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4
Coreference Reasoning in Machine Reading Comprehension ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
., Iryna
;
Moosavi, Nafise Sadat
. - : Underline Science Inc., 2021
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5
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
., Iryna
;
., Sebastian
. - : Underline Science Inc., 2021
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6
Metaphor Generation with Conceptual Mappings ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
., Iryna
;
Chakrabarty, Tuhin
;
Muresan, Smaranda
;
Peng, Nanyun
;
Stowe, Kevin
. - : Underline Science Inc., 2021
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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