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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 Page: 1 2 Hits 1 – 20 of 36 1 Universal Dependencies 2.9 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 2 Universal Dependencies 2.8.1 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 3 Universal Dependencies 2.8 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 4 Enhancing Cognitive Models of Emotions with Representation Learning ... Guo, Yuting; Choi, Jinho. - : arXiv, 2021 BASE Show details 5 Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation ... Xu, Liyan; Zhang, Xuchao; Zhao, Xujiang. - : arXiv, 2021 BASE Show details 6 Intensionalizing Abstract Meaning Representations: Non-Veridicality and Scope ... Williamson, Gregor; Elliott, Patrick; Ji, Yuxin. - : arXiv, 2021 BASE Show details 7 The Stem Cell Hypothesis: Dilemma behind Multi-Task Learning with Transformer Encoders ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Choi, Jinho; He, Han. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.451/ Abstract: Multi-task learning with transformer encoders (MTL) has emerged as a powerful technique to improve performance on closely-related tasks for both accuracy and efficiency while a question still remains whether or not it would perform as well on tasks that are distinct in nature. We first present MTL results on five NLP tasks, POS, NER, DEP, CON, and SRL, and depict its deficiency over single-task learning. We then conduct an extensive pruning analysis to show that a certain set of attention heads get claimed by most tasks during MTL, who interfere with one another to fine-tune those heads for their own objectives. Based on this finding, we propose the Stem Cell Hypothesis to reveal the existence of attention heads naturally talented for many tasks that cannot be jointly trained to create adequate embeddings for all of those tasks. Finally, we design novel parameter-free probes to justify our hypothesis and demonstrate how attention ... Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Named Entity Recognition; Natural Language Processing URL: https://underline.io/lecture/37971-the-stem-cell-hypothesis-dilemma-behind-multi-task-learning-with-transformer-encoders https://dx.doi.org/10.48448/q28e-8k61 BASE Hide details 8 Levi Graph AMR Parser using Heterogeneous Attention ... 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; Choi, Jinho; He, Han. - : Underline Science Inc., 2021 BASE Show details 9 Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph ... Xu, Liyan; Zhang, Xuchao; Zong, Bo. - : arXiv, 2021 BASE Show details 10 Universal Dependencies 2.7 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 11 Universal Dependencies 2.6 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 12 Transformers to Learn Hierarchical Contexts in Multiparty Dialogue for Span-based Question Answering ... Li, Changmao; Choi, Jinho D.. - : arXiv, 2020 BASE Show details 13 Universal Dependencies 2.5 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2019 BASE Show details 14 Universal Dependencies 2.4 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2019 BASE Show details 15 Automatic Text-based Personality Recognition on Monologues and Multiparty Dialogues Using Attentive Networks and Contextual Embeddings ... Jiang, Hang; Zhang, Xianzhe; Choi, Jinho D.. - : arXiv, 2019 BASE Show details 16 Universal Dependencies 2.2 Nivre, Joakim; Abrams, Mitchell; Agić, Željko... In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018) BASE Show details 17 Universal Dependencies 2.3 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018 BASE Show details 18 Universal Dependencies 2.2 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018 BASE Show details 19 Do FreeWord Order Languages Need More Treebank Data? Investigating Dative Alternation in German, English, and Russian Gilmanov, Timur [Verfasser]; Abo Mokh, Noor [Verfasser]; Kim, Evgeny [Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017 DNB Subject Category Language Show details 20 Universal Dependencies 2.1 Nivre, Joakim; Agić, Željko; Ahrenberg, Lars... In: https://hal.inria.fr/hal-01682188 ; 2017 (2017) BASE Show details Page: 1 2

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