【1】 "Laughing at you or with you": The Role of Sarcasm in Shaping the  Disagreement Space
作者：Debanjan Ghosh,Ritvik Shrivastava,Smaranda Muresan
机构：Educational Testing Service, MindMeld, Cisco Systems, Data Science Institute, Columbia University
备注：Accepted in the 16th conference of the European Chapter of the Association for Computational Linguistics (EACL). Long paper
链接：https://arxiv.org/abs/2101.10952

【2】 Attention Can Reflect Syntactic Structure (If You Let It)
标题：注意力可以反映句法结构(如果你允许的话)
作者：Vinit Ravishankar,Artur Kulmizev,Mostafa Abdou,Anders Søgaard,Joakim Nivre
机构：t Language Technology Group, University of Oslo, Uppsala University, University of Copenhagen
备注：None
链接：https://arxiv.org/abs/2101.10927

【3】 I Beg to Differ: A study of constructive disagreement in online  conversations
标题：我不敢苟同：在线对话中建设性分歧的研究
作者：Christine de Kock,Andreas Vlachos
机构：University of Cambridge
备注：Accepted to appear in EACL 2021
链接：https://arxiv.org/abs/2101.10917

【4】 Spark NLP: Natural Language Understanding at Scale
标题：电光自然语言处理：大规模的自然语言理解
作者：Veysel Kocaman,David Talby
机构：John Snow Labs Inc.,  Coastal Highway, Lewes, DE, USA 
备注：=Accepted as a publication in Elsevier, Software Impacts Journal. arXiv admin note: substantial text overlap with arXiv:2012.04005
链接：https://arxiv.org/abs/2101.10848

【5】 Summarising Historical Text in Modern Languages
标题：用现代语言概括历史文本
作者：Xutan Peng,Yi Zheng,Chenghua Lin,Advaith Siddharthan
机构：The University of Sheffield, UK, China, Knowledge Media Institute, The Open University, UK
备注：To appear at EACL 2021
链接：https://arxiv.org/abs/2101.10759

【6】 Regulatory Compliance through Doc2Doc Information Retrieval: A case  study in EU/UK legislation where text similarity has limitations
标题：通过Doc2Doc信息检索实现法规遵从性：欧盟/英国立法中文本相似性有限制的案例研究
作者：Ilias Chalkidis,Manos Fergadiotis,Nikolaos Manginas,Eva Katakalou,Prodromos Malakasiotis
机构：t EY AI Centre of Excellence in Document Intelligence, NCSR"Demokritos", Athens University of Economics and Business, European and Area Studies, Panteion University
备注：Accepted for publication by EACL 2021, 13 pages including references and appendices
链接：https://arxiv.org/abs/2101.10726

【7】 Combining Deep Generative Models and Multi-lingual Pretraining for  Semi-supervised Document Classification
标题：深度生成模型与多语种预训练相结合的半监督文档分类
作者：Yi Zhu,Ehsan Shareghi,Yingzhen Li,Roi Reichart,Anna Korhonen
机构：Language Technology Lab, University of Cambridge, Monash University, Imperial College London, Technion, IIT
备注：EACL 2021
链接：https://arxiv.org/abs/2101.10717

【8】 Exploring Transitivity in Neural NLI Models through Veridicality
标题：通过真实性探索神经NLI模型的传递性
作者：Hitomi Yanaka,Koji Mineshima,Kentaro Inui
机构：RIKEN,Keio University,Tohoku University
备注：accepted by EACL2021 as a long paper
链接：https://arxiv.org/abs/2101.10713

【9】 Few-Shot Semantic Parsing for New Predicates
标题：新谓词的少射语义句法分析
作者：Zhuang Li,Lizhen Qu,Shuo Huang,Gholamreza Haffari
机构：Monash University
备注：Accepted to EACL 2021
链接：https://arxiv.org/abs/2101.10708

【10】 Neural machine translation, corpus and frugality
标题：神经机器翻译、语料库与节俭
作者：Raoul Blin
机构：January 
链接：https://arxiv.org/abs/2101.10650

【11】 Analyzing Zero-shot Cross-lingual Transfer in Supervised NLP Tasks
标题：监督NLP任务中零命中率跨语言迁移分析
作者：Hyunjin Choi,Judong Kim,Seongho Joe,Seungjai Min,Youngjune Gwon
机构：Samsung SDS
备注：6 pages, 4 figures, to be published in 25th International Conference on Pattern Recognition, ICPR 2020
链接：https://arxiv.org/abs/2101.10649

【12】 Evaluation of BERT and ALBERT Sentence Embedding Performance on  Downstream NLP Tasks
标题：下游NLP任务中ERT和Albert语句嵌入性能的评估
作者：Hyunjin Choi,Judong Kim,Seongho Joe,Youngjune Gwon
机构：Samsung SDS, Seoul, Korea
备注：6 pages, 2 figures, to be published in 25th International Conference on Pattern Recognition, ICPR2020
链接：https://arxiv.org/abs/2101.10642

【13】 Low Resource Recognition and Linking of Biomedical Concepts from a Large  Ontology
标题：大型本体中生物医学概念的低资源识别和链接
作者：Sunil Mohan,Rico Angell,Nick Monath,Andrew McCallum
链接：https://arxiv.org/abs/2101.10587

【14】 Generating Syntactically Controlled Paraphrases without Using Annotated  Parallel Pairs
标题：不使用带注释的平行对生成句法受控释义
作者：Kuan-Hao Huang,Kai-Wei Chang
机构：University of California, Los Angeles University of California, Los Angeles, khhuangacs. ucla. edu, kwchangacs. ucla. edu
备注：EACL 2021
链接：https://arxiv.org/abs/2101.10579

【15】 Representations for Question Answering from Documents with Tables and  Text
标题：基于表格和文本的文档问答表示法
作者：Vicky Zayats,Kristina Toutanova,Mari Ostendorf
机构：Google Research SUniversity of Washingtor
备注：To appear at EACL 2021
链接：https://arxiv.org/abs/2101.10573

【16】 Coloring the Black Box: What Synesthesia Tells Us about Character  Embeddings
标题：给黑匣子上色：通感告诉我们什么关于字符嵌入
作者：Katharina Kann,Mauro M. Monsalve-Mercado
机构：University of Colorado Boulder, Columbia University
备注：EACL 2021
链接：https://arxiv.org/abs/2101.10565

【17】 RESPER: Computationally Modelling Resisting Strategies in Persuasive  Conversations
标题：Resper：说服性对话中抵制策略的计算建模
作者：Ritam Dutt,Sayan Sinha,Rishabh Joshi,Surya Shekhar Chakraborty,Meredith Riggs,Xinru Yan,Haogang Bao,Carolyn Penstein Rosé
机构：Carnegie Mellon University,Indian Institute of Technology Kharagpur, Zendrive Inc
备注：Accepted as a long paper at the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021)
链接：https://arxiv.org/abs/2101.10545

【18】 Arabic aspect based sentiment analysis using bidirectional GRU based  models
标题：基于双向GRU模型的阿拉伯语体情感分析
作者：Mohammed Mustafa,Taysir Hassan A Soliman,Ahmed Ibrahim Taloba,Mohammed Fawzi Seedik
机构：Assiut university, Egypt
链接：https://arxiv.org/abs/2101.10539

【19】 Application of Lexical Features Towards Improvement of Filipino  Readability Identification of Children's Literature
标题：词汇特征在提高菲律宾语儿童文学可读性鉴定中的应用
作者：Joseph Marvin Imperial,Ethel Ong
备注：8 tables, 1 figure. Presented at the Philippine Computing Science Congress 2020
链接：https://arxiv.org/abs/2101.10537

【20】 El Volumen Louder Por Favor: Code-switching in Task-oriented  SemanticParsing
标题：EL音量更响亮：面向任务的语义分析中的语码转换
作者：Arash Einolghozati,Abhinav Arora,Lorena Sainz-Maza Lecanda,Anuj Kumar,Sonal Gupta
机构：Facebook
备注：None
链接：https://arxiv.org/abs/2101.10524

【21】 A Digital Corpus of St. Lawrence Island Yupik
标题：圣劳伦斯岛尤皮克数字语料库
作者：Lane Schwartz,Emily Chen,Hyunji Hayley Park,Edward Jahn,Sylvia L. R. Schreiner
机构：University of Illinois, Sylvia L.R. Schreiner, George Mason University
备注：ComputEL-4
链接：https://arxiv.org/abs/2101.10496

【22】 PolyLM: Learning about Polysemy through Language Modeling
标题：PolyLM：通过语言建模学习一词多义
作者：Alan Ansell,Felipe Bravo-Marquez,Bernhard Pfahringer
机构：University of Waikato, University of Chile IMFD
备注：EACL 2021
链接：https://arxiv.org/abs/2101.10448

【23】 Randomized Deep Structured Prediction for Discourse-Level Processing
标题：语篇级处理的随机化深层结构预测
作者：Manuel Widmoser,Maria Leonor Pacheco,Jean Honorio,Dan Goldwasser
机构：University of Salzburg, Austria, Purdue University, USA
备注：Accepted to EACL 2021
链接：https://arxiv.org/abs/2101.10435

【24】 English Machine Reading Comprehension Datasets: A Survey
标题：英语机器阅读理解数据集研究综述
作者：Daria Dzendzik,Carl Vogel,Jennifer Foster
机构：ADAPT Centre, Dublin City University, Science and Statistics, Dublin, Ireland, Trinity College Dublin, daria. dzendzik, the University of Dublin, jennifer. foster
备注：Dataset survey paper: 10 pages, 5 figures, 1 table + attachment
链接：https://arxiv.org/abs/2101.10421

【25】 The Power of Language: Understanding Sentiment Towards the Climate  Emergency using Twitter Data
标题：语言的力量：使用推特数据理解对气候紧急情况的情绪
作者：Arman Sarjou
机构：Departement of Computer Science, City, University of london, London, United Kingdom
备注：6 Pages, 10 figures
链接：https://arxiv.org/abs/2101.10376

【26】 Meta-Learning for Effective Multi-task and Multilingual Modelling
标题：有效的多任务多语言建模的元学习
作者：Ishan Tarunesh,Sushil Khyalia,Vishwajeet Kumar,Ganesh Ramakrishnan,Preethi Jyothi
机构： Indian Institute of Technology Bombay,  IBM India Research Lab
备注：8 pages, 3 figures
链接：https://arxiv.org/abs/2101.10368

【27】 Towards Entity Alignment in the Open World: An Unsupervised Approach
标题：开放世界中的实体对齐：一种无监督的方法
作者：Weixin Zeng,Xiang Zhao,Jiuyang Tang,Xinyi Li,Minnan Luo,Qinghua Zheng
机构：Zheng,  Science and Technology on Information Systems Engineering Laboratory, National, University of Defense Technology, Changsha, China, Xi'an Jiaotong University, Xi'an, China
备注：Accepted by DASFAA 2021
链接：https://arxiv.org/abs/2101.10535

【28】 On the Evaluation of Vision-and-Language Navigation Instructions
标题：浅谈视觉语言导航教学的评价
作者：Ming Zhao,Peter Anderson,Vihan Jain,Su Wang,Alexander Ku,Jason Baldridge,Eugene Ie
机构：Google Research
备注：Accepted to EACL 2021
链接：https://arxiv.org/abs/2101.10504

【29】 Curriculum Learning: A Survey
标题：课程学习：综述
作者：Petru Soviany,Radu Tudor Ionescu,Paolo Rota,Nicu Sebe
链接：https://arxiv.org/abs/2101.10382

机器翻译，仅供参考