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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 25 1 Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang ... Keidar, Daphna; Opedal, Andreas; Jin, Zhijing. - : arXiv, 2022 BASE Show details 2 Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ... 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; Hou, Yifan; Sachan, Mrinmaya. - : Underline Science Inc., 2022 BASE Show details 3 Bird's Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ... Hou, Yifan; Sachan, Mrinmaya. - : arXiv, 2021 BASE Show details 4 Scaling Within Document Coreference to Long Texts ... 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; McCallum, Andrew; Monath, Nicholas. - : Underline Science Inc., 2021 BASE Show details 5 Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ... 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; Hou, Yifan; Sachan, Mrinmaya. - : Underline Science Inc., 2021 BASE Show details 6 Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ... 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; Hou, Yifan; Sachan, Mrinmaya. - : Underline Science Inc., 2021 BASE Show details 7 Differentiable Subset Pruning of Transformer Heads ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Cotterell, Ryan; Li, Jiaoda. - : Underline Science Inc., 2021 BASE Show details 8 How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact ... 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; Chauhan, Geeticka; Jin, Zhijing. - : Underline Science Inc., 2021 BASE Show details 9 How Good Is NLP?A Sober Look at NLP Tasks through the Lens of Social Impact ... Jin, Zhijing; Chauhan, Geeticka; Tse, Brian. - : ETH Zurich, 2021 BASE Show details 10 “Let Your Characters Tell Their Story”: A Dataset for Character-Centric Narrative Understanding ... Brahman, Faeze; Huang, Meng; Tafjord, Oyvind. - : ETH Zurich, 2021 BASE Show details 11 Scaling Within Document Coreference to Long Texts ... Thirukovalluru, Raghuveer; Monath, Nicholas; Shridhar, Kumar. - : ETH Zurich, 2021 BASE Show details 12 Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations ... 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; Atzeni, Mattia; Campbell, Murray; Kapanipathi, Pavan; Murugesan, Keerthiram; Sachan, Mrinmaya; Talamadupula, Kartik. - : Underline Science Inc., 2021 Abstract: Read paper: https://www.aclanthology.org/2021.acl-short.91 Abstract: Text-based games (TBGs) have emerged as useful benchmarks for evaluating progress at the intersection of grounded language understanding and reinforcement learning (RL). Recent work has proposed the use of external knowledge to improve the efficiency of RL agents for TBGs. In this paper, we posit that to act efficiently in TBGs, an agent must be able to track the state of the game while retrieving and using relevant commonsense knowledge. Thus, we propose an agent for TBGs that induces a graph representation of the game state and jointly grounds it with a graph of commonsense knowledge from ConceptNet. This combination is achieved through bidirectional knowledge graph attention between the two symbolic representations. We show that agents that incorporate commonsense into the game state graph outperform baseline agents. ... Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics URL: https://underline.io/lecture/26079-efficient-text-based-reinforcement-learning-by-jointly-leveraging-state-and-commonsense-graph-representations https://dx.doi.org/10.48448/0gbm-rp32 BASE Hide details 13 Differentiable subset pruning of transformer heads ... Li, Jiaoda; Cotterell, Ryan; Sachan, Mrinmaya. - : ETH Zurich, 2021 BASE Show details 14 Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations ... Murugesan, Keerthiram; Atzeni, Mattia; Kapanipathi, Pavan. - : ETH Zurich, 2021 BASE Show details 15 Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP Vaidhya, Tejas; Sachan, Mrinmaya; von Kügelgen, Julius... In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021) BASE Show details 16 How Good Is NLP?A Sober Look at NLP Tasks through the Lens of Social Impact Tse, Brian; Jin, Zhijing; Mihalcea, Rada... In: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 (2021) BASE Show details 17 Differentiable subset pruning of transformer heads Li, Jiaoda; Cotterell, Ryan; Sachan, Mrinmaya In: Transactions of the Association for Computational Linguistics, 9 (2021) BASE Show details 18 Scaling Within Document Coreference to Long Texts Monath, Nicholas; Shridhar, Kumar; Zaheer, Manzil... In: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 (2021) BASE Show details 19 “Let Your Characters Tell Their Story”: A Dataset for Character-Centric Narrative Understanding Zhao, Chao; Sachan, Mrinmaya; Tafjord, Oyvind... In: Findings of the Association for Computational Linguistics: EMNLP 2021 (2021) BASE Show details 20 Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations Sachan, Mrinmaya; Campbell, Murray; Kapanipathi, Pavan... In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (2021) BASE Show details Page: 1 2

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