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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 4 of 4 1 Definition Modelling for Appropriate Specificity ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Arase, Yuki; Huang, Han. - : Underline Science Inc., 2021 BASE Show details 2 Distinct Label Representations for Few-Shot Text Classification ... 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; Arase, Yuki; Kajiwara, Tomoyuki; Ohashi, Sora; Takayama, Junya. - : Underline Science Inc., 2021 Abstract: Read paper: https://www.aclanthology.org/2021.acl-short.105 Abstract: Few-shot text classification aims to classify inputs whose label has only a few examples. Previous studies overlooked the semantic relevance between label representations. Therefore, they are easily confused by labels that are relevant. To address this problem, we propose a method that generates distinct label representations that embed information specific to each label. Our method is applicable to conventional few-shot classification models. Experimental results show that our method significantly improved the performance of few-shot text classification across models and datasets. ... Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics URL: https://underline.io/lecture/25850-distinct-label-representations-for-few-shot-text-classification https://dx.doi.org/10.48448/a4s0-tn41 BASE Hide details 3 Language-agnostic Representation from Multilingual Sentence Encoders for Cross-lingual Similarity Estimation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Arase, Yuki; Kajiwara, Tomoyuki. - : Underline Science Inc., 2021 BASE Show details 4 Distilling Word Meaning in Context from Pre-trained Language Models ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Arase, Yuki; Arase, Yuki. - : Underline Science Inc., 2021 BASE Show details

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