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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 34 1 CSDS: A Fine-Grained Chinese Dataset for Customer Service Dialogue Summarization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Lin, Haitao; Ma, Liqun. - : Underline Science Inc., 2021 BASE Show details 2 Opening Session ... 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; Li, Wenjie; Navigli, Roberto. - : Underline Science Inc., 2021 BASE Show details 3 Modeling the Unigram Distribution Blasi, Damián; Pimentel, Tiago; Nikkarinen, Irene... In: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 (2021) BASE Show details 4 On Finding the K-best Non-projective Dependency Trees Zmigrod, Ran; Cotterell, Ryan; Vieira, Tim 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 5 Higher-order Derivatives of Weighted Finite-state Machines Zmigrod, Ran; Cotterell, Ryan; Vieira, Tim 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 6 How Good Is NLP?A Sober Look at NLP Tasks through the Lens of Social Impact Tse, Brian; Jin, Zhijing; Mihalcea, Rada; Sachan, Mrinmaya; Chauhan, Geeticka In: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 (2021) Abstract: Recent years have seen many breakthroughs in natural language processing (NLP), transitioning it from a mostly theoretical field to one with many real-world applications. Noting the rising number of applications of other machine learning and AI techniques with pervasive societal impact, we anticipate the rising importance of developing NLP technologies for social good. Inspired by theories in moral philosophy and global priorities research, we aim to promote a guideline for social good in the context of NLP. We lay the foundations via the moral philosophy definition of social good, propose a framework to evaluate the direct and indirect real-world impact of NLP tasks, and adopt the methodology of global priorities research to identify priority causes for NLP research. Finally, we use our theoretical framework to provide some practical guidelines for future NLP research for social good. URL: https://hdl.handle.net/20.500.11850/527311 https://doi.org/10.3929/ethz-b-000527311 BASE Hide details 7 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 8 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 9 Examining the Inductive Bias of Neural Language Models with Artificial Languages White, Jennifer C.; Cotterell, Ryan 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 10 KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation Lakemeyer, Gerhard; Meng, Zhao; Xing, Yiran... 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 11 Knowledge distillation for quality estimation Gajbhiye, Amit; Fomicheva, Marina; Alva-Manchego, Fernando. - : Association for Computational Linguistics, 2021 BASE Show details 12 Knowledge Graph Enhanced Neural Machine Translation via Multi-task Learning on Sub-entity Granularity ... The 28th International Conference on Computational Linguistics 2020; Xiang, Lu; zhang, jiajun. - : Underline Science Inc., 2020 BASE Show details 13 Dual Attention Network for Cross-lingual Entity Alignment ... The 28th International Conference on Computational Linguistics 2020; Sun, Jian; Zhou, Yu. - : Underline Science Inc., 2020 BASE Show details 14 IntKB: A Verifiable Interactive Framework for Knowledge Base Completion Kunpeng, Guo; Feuerriegel, Stefan; Diefenbach, Dennis... In: Proceedings of the 28th International Conference on Computational Linguistics (2020) BASE Show details 15 A Geometry-Inspired Attack for Generating Natural Language Adversarial Examples Wattenhofer, Roger; Meng, Zhao In: Proceedings of the 28th International Conference on Computational Linguistics (2020) BASE Show details 16 Morphologically Aware Word-Level Translation Czarnowska, Paula; Copestake, Ann; Ruder, Sebastian... In: Proceedings of the 28th International Conference on Computational Linguistics (2020) BASE Show details 17 Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction. Mandya, Angrosh; Coenen, Frans; Bollegala, Danushka. - : International Committee on Computational Linguistics, 2020 BASE Show details 18 Autoencoding Improves Pre-trained Word Embeddings. Kaneko, Masahiro; Bollegala, Danushka. - : International Committee on Computational Linguistics, 2020 BASE Show details 19 Specializing unsupervised pretraining models for word-level semantic similarity Ponti, Edoardo Maria; Korhonen, Anna; Vulić, Ivan. - : Association for Computational Linguistics, ACL, 2020 BASE Show details 20 XHate-999: analyzing and detecting abusive language across domains and languages Glavaš, Goran; Karan, Mladen; Vulić, Ivan. - : Association for Computational Linguistics, 2020 BASE Show details Page: 1 2

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