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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 26 1 CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systems ... Chawla, Kushal; Ramirez, Jaysa; Clever, Rene. - : arXiv, 2021 BASE Show details 2 Many-to-English Machine Translation Tools, Data, and Pretrained Models ... Gowda, Thamme; Zhang, Zhao; Mattmann, Chris A. - : arXiv, 2021 BASE Show details 3 X-METRA-ADA: Cross-lingual Meta-Transfer Learning Adaptation to Natural Language Understanding and Question Answering ... M'hamdi, Meryem; Kim, Doo Soon; Dernoncourt, Franck. - : arXiv, 2021 BASE Show details 4 \textit{NewsEdits}: A Dataset of Revision Histories for News Articles (Technical Report: Data Processing) ... Spangher, Alexander; May, Jonathan. - : arXiv, 2021 Abstract: News article revision histories have the potential to give us novel insights across varied fields of linguistics and social sciences. In this work, we present, to our knowledge, the first publicly available dataset of news article revision histories, or \textit{NewsEdits}. Our dataset is multilingual; it contains 1,278,804 articles with 4,609,430 versions from over 22 English- and French-language newspaper sources based in three countries. Across version pairs, we count 10.9 million added sentences; 8.9 million changed sentences and 6.8 million removed sentences. Within the changed sentences, we derive 72 million atomic edits. \textit{NewsEdits} is, to our knowledge, the largest corpus of revision histories of any domain. ... : 11 pages ... Keyword: Computation and Language cs.CL; Digital Libraries cs.DL; FOS Computer and information sciences URL: https://arxiv.org/abs/2104.09647 https://dx.doi.org/10.48550/arxiv.2104.09647 BASE Hide details 5 Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Gheini, Mozhdeh; May, Jonathan. - : Underline Science Inc., 2021 BASE Show details 6 CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systems ... NAACL 2021 2021; Chawla, Kushal; Clever, Rene. - : Underline Science Inc., 2021 BASE Show details 7 Salience-Aware Event Chain Modeling for Narrative Understanding ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, Muhao; May, Jonathan. - : Underline Science Inc., 2021 BASE Show details 8 WARP: Word-level Adversarial ReProgramming ... 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; Hambardzumyan, Karen; Khachatrian, Hrant. - : Underline Science Inc., 2021 BASE Show details 9 Many-to-English Machine Translation Tools ... 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; Gowda, Thamme; Mattmann, Chris. - : Underline Science Inc., 2021 BASE Show details 10 Can Sequence-to-Sequence Models Crack Substitution Ciphers? ... 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; Aldarrab, Nada; May, Jonathan. - : Underline Science Inc., 2021 BASE Show details 11 X-METRA-ADA: Cross-lingual Meta-Transfer learning Adaptation to Natural Language Understanding and Question Answering ... NAACL 2021 2021; Bui, Trung; Dernoncourt, Franck. - : Underline Science Inc., 2021 BASE Show details 12 Can Sequence-to-Sequence Models Crack Substitution Ciphers? ... Aldarrab, Nada; May, Jonathan. - : arXiv, 2020 BASE Show details 13 Exploring Early Prediction of Buyer-Seller Negotiation Outcomes ... Chawla, Kushal; Lucas, Gale; May, Jonathan. - : arXiv, 2020 BASE Show details 14 Experience Grounds Language ... Bisk, Yonatan; Holtzman, Ari; Thomason, Jesse. - : arXiv, 2020 BASE Show details 15 SemEval-2020 Task 2: Predicting multilingual and cross-lingual (graded) lexical entailment Glavaš, Goran; Vulić, Ivan; Korhonen, Anna. - : Association for Computational Linguistics, 2020 BASE Show details 16 A Universal Parent Model for Low-Resource Neural Machine Translation Transfer ... Gheini, Mozhdeh; May, Jonathan. - : arXiv, 2019 BASE Show details 17 What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis ... Huang, Xiaolei; May, Jonathan; Peng, Nanyun. - : arXiv, 2019 BASE Show details 18 HHMM at SemEval-2019 Task 2: Unsupervised frame induction using contextualized word embeddings Arefyev, Nikolay; Panchenko, Alexander; Anwar, Saba. - : Association for Computational Linguistics, ACL, 2019 BASE Show details 19 A Corpus of Rich Metaphor Annotation ... Gordon, Jonathan; Hobbs, Jerry R.; May, Jonathan. - : figshare, 2018 BASE Show details 20 A Corpus of Rich Metaphor Annotation ... Gordon, Jonathan; Hobbs, Jerry R.; May, Jonathan. - : figshare, 2018 BASE Show details Page: 1 2

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