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This paper describes the BLCU-ICALL system used in the SemEval-2022 Task 1 Comparing Dictionaries and Word Embeddings, the Definition Modeling subtrack, achieving 1st on Italian, 2nd on Spanish and Russian, and 3rd on English and French.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Definition modeling: Learning to define word embeddings in natural language
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Generationary or “how we went beyond word sense inventories and learned to gloss”
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VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition Modeling
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Ting-Yun Chang, Ta-Chung Chi, Shang-Chi Tsai, and Yun-Nung Chen. 2018 · 2018
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Learning to describe unknown phrases with local and global contexts
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Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013a
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Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013b
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Incorporating sememes into chinese definition modeling
Liner Yang, Cunliang Kong, Yun Chen, Yang Liu, Qinan Fan, and Erhong Yang. 2020 · 2020
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Definition modelling for appropriate specificity
Han Huang, Tomoyuki Kajiwara, and Yuki Arase. 2021 · 2021
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Recent advances in natural language processing via large pre-trained language models: A survey
Bonan Min, Hayley Ross, Elior Sulem, Amir Pouran Ben Veyseh, Thien Huu Nguyen, Oscar Sainz, Eneko Agirre, Ilana Heinz, and Dan Roth. 2021 · 2021
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Multitasking framework for unsupervised simple definition generation
Cunliang Kong, Yun Chen, Hengyuan Zhang, Liner Yang, and Erhong Yang. 2022 · 2022
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SemEval-2022 Task 1: Codwoe – comparing dictionaries and word embeddings
Timothee Mickus, Denis Paperno, Mathieu Constant, and Kees van Deemter. 2022 · 2022
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