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The standard definition generation task requires to automatically produce mono-lingual definitions (e.g., English definitions for English words), but ignores that the generated definitions may also consist of unfamiliar words for language learners.
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, and Luke Zettlemoyer. 2019 · 1910
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Exploiting cloze questions for few shot text classification and natural language inference
Timo Schick and Hinrich Schütze. 2020a · 2001
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Reconsidering prepositional polysemy networks: The case of over
Andrea Tyler and Vyvyan Evans. 2001 · 2001
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Making monolingual sentence embeddings multilingual using knowledge distillation
Nils Reimers and Iryna Gurevych. 2020 · 2004
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It’s not just size that matters: Small language models are also few-shot learners
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Chinese wordnet: Design, implementation, and application of an infrastructure for cross-lingual knowledge processing
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Machel Reid, Edison Marrese-Taylor, and Yutaka Matsuo. 2020a · 2010
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Machel Reid, Edison Marrese-Taylor, and Yutaka Matsuo. 2020b · 2010
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Discussion on the definitions in chinese learner’s dictionaries: Comparative study of domestic and foreign learner dictionaries (translated from chinese)
Yihua Zhang. 2011 · 2011
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Facenet: A unified embedding for face recognition and clustering
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Definition modeling: Learning to define word embeddings in natural language
Thanapon Noraset, Chen Liang, Larry Birnbaum, and Doug Downey. 2017 · 2017
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Conditional generators of words definitions
Artyom Gadetsky, Ilya Yakubovskiy, and Dmitry Vetrov. 2018 · 2018
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Alec Radford, Karthik Narasimhan, Tim Salimans, Ilya Sutskever, et al. 2018 · 2018
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Learning to describe unknown phrases with local and global contexts
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Generationary or “how we went beyond word sense inventories and learned to gloss”
Michele Bevilacqua, Marco Maru, and Roberto Navigli. 2020 · 2020
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Definition modelling for appropriate specificity
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Fatemeh Enayati and Abbas Pourhosein Gilakjani. 2020 · 2020
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Explicit semantic decomposition for definition generation
Jiahuan Li, Yu Bao, Shujian Huang, Xinyu Dai, and Jiajun Chen. 2020 · 2020
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The impact of computer assisted language learning (call) use of english vocabulary enhancement
Yuri Lolita, Endry Boeriswati, and Ninuk Lustyantie. 2020 · 2020
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Incorporating sememes into chinese definition modeling
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Beyond english-centric multilingual machine translation
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Ppt: Pre-trained prompt tuning for few-shot learning
Yuxian Gu, Xu Han, Zhiyuan Liu, and Minlie Huang. 2021 · 2021
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On measuring social biases in prompt-based multi-task learning
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P-tuning: Prompt tuning can be comparable to fine-tuning across scales and tasks
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Psychology-guided controllable story generation
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