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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 – 6 of 6 1 Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Harsh; Balasubramanian, Niranjan. - : Underline Science Inc., 2021 BASE Show details 2 SHAPE: Shifted Absolute Position Embedding for Transformers ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Inui, Kentaro; Kiyono, Shun. - : Underline Science Inc., 2021 BASE Show details 3 Incorporating Residual and Normalization Layers into Analysis of Masked Language Models ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Inui, Kentaro; Kobayashi, Goro. - : Underline Science Inc., 2021 BASE Show details 4 Pseudo Zero Pronoun Resolution Improves Zero Anaphora Resolution ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Inui, Kentaro; Kiyono, Shun; Konno, Ryuto; Matsubayashi, Yuichiroh; Ouchi, Hiroki. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.308/ Abstract: Masked language models (MLMs) have contributed to drastic performance improvements with regard to zero anaphora resolution (ZAR). To further improve this approach, in this study, we made two proposals. The first is a new pretraining task that trains MLMs on anaphoric relations with explicit supervision, and the second proposal is a new finetuning method that remedies a notorious issue, the pretrainfinetune discrepancy. Our experiments on Japanese ZAR demonstrated that our two proposals boost the state-of-the-art performance, and our detailed analysis provides new insights on the remaining challenges. ... Keyword: Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing URL: https://dx.doi.org/10.48448/chh9-q802 https://underline.io/lecture/37343-pseudo-zero-pronoun-resolution-improves-zero-anaphora-resolution BASE Hide details 5 Exploring Methods for Generating Feedback Comments for Writing Learning ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Hanawa, Kazuaki; Inui, Kentaro. - : Underline Science Inc., 2021 BASE Show details 6 Transformer-based Lexically Constrained Headline Generation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Hitomi, Yuta; Inui, Kentaro. - : Underline Science Inc., 2021 BASE Show details

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