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Radhika Gaonkar, Heeyoung Kwon, Mohaddeseh Bastan, Niranjan Balasubramanian and Nathanael Chambers, Modeling Long Context for Task-Oriented Dialogue State Generation Hao Zhang, Aixin Sun, Wei Jing and Joey Tianyi Zhou, SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction For example, preprocessing decisions, model parameters, feature templates, lengthy proofs or derivations, pseudocode, sample system inputs/outputs, and other details that are necessary for the exact replication of the work described in the paper can be put into the appendix. Hwichan Kim, Tosho Hirasawa and Mamoru Komachi. Prajjwal Bhargava, AraDIC: Arabic Document Classification Using Image-Based Character Embeddings and Class-Balanced Loss Yeachan Kim, Kang-Min Kim and SangKeun Lee, Addressing Posterior Collapse with Mutual Information for Improved Variational Neural Machine Translation Marcin Namysl, Sven Behnke and Joachim Köhler, Negative Training for Neural Dialogue Response Generation Pratik Dutta and Sriparna Saha, AMR Parsing via Graph-Sequence Iterative Inference Xiaochuang Han, Byron C. Wallace and Yulia Tsvetkov, Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading Instead, use citations such as “Smith previously showed (Smith, 1991) …” Papers that do not conform to these requirements will be rejected without review. Jeniya Tabassum, Mounica Maddela, Wei Xu and Alan Ritter, CompGuessWhat?!

Mahmoud Khademi, MultiQT: Multimodal learning for real-time question tracking in speech Daphne Ippolito, David Grangier, Douglas Eck and Chris Callison-Burch, Towards Better Non-Tree Argument Mining: Proposition-Level Biaffine Parsing with Task-Specific Parameterization Vittorio Castelli, Rishav Chakravarti, Saswati Dana, Anthony Ferritto, Radu Florian, Martin Franz, Dinesh Garg, Dinesh Khandelwal, Scott McCarley, Michael McCawley, Mohamed Nasr, Lin Pan, Cezar Pendus, John Pitrelli, Saurabh Pujar, Salim Roukos, Andrzej Sakrajda, Avi Sil, Rosario Uceda-Sosa, Todd Ward and Rong Zhang, The Unstoppable Rise of Computational Linguistics in Deep Learning

ACL2020 Reviewer/Author Information Form: this allows us to better match papers with the best reviewers:, A blog post including more detailed instructions and commonly asked questions will be found here:, 2. Dian Yu, Kai Sun, Claire Cardie and Dong Yu, Dice Loss for Data-imbalanced NLP Tasks CalFresh Discretionary Exemption Policy For Counties Implementing The Able-Bodied Adult Without Dependents (ABAWD) Time Limit From April 1, 2020 Through September 30, 2020, ACL 20-17 (February 26, 2020) Changfeng Zhu, Heng Yu, Shanbo Cheng and Weihua Luo, Learning an Unreferenced Metric for Online Dialogue Evaluation California Work Opportunity And Responsibility To Kids Program Guidance To Provide Outcomes-Based Incentives And Performance-Based Payments, ACL 20-35 (May 8, 2020) Tassilo Klein and Moin Nabi, Controlled Crowdsourcing for High-Quality QA-SRL Annotation Kervy Rivas Rojas, Gina Bustamante, Arturo Oncevay and Marco Antonio Sobrevilla Cabezudo, Embarrassingly Simple Unsupervised Aspect Extraction Guidance Regarding Extended Foster Care Program Flexibilities Due To COVID-19 Impacts, Optional Transitional Housing Program-PLUs Extensions, And Supervised Independent Living Placement Approvals, ACL 20-111 (October 13, 2020) Ben Swanson and Boris Smus, What’s The Latest? However, the paper submissions need to remain fully self-contained, as these supplementary materials are completely optional, and reviewers are not even asked to review or download them. Micah Shlain, Hillel Taub-Tabib, Shoval Sadde and Yoav Goldberg, SyntaxGym: An Online Platform for Targeted Evaluation of Language Models A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion Analysis

(For those rare conferences whose proceedings are published in the ACL Anthology after the conference is over, the official publication date remains the first day of the conference.). Lianwei Wu, Yuan Rao, Yongqiang Zhao, Hao Liang and Ambreen Nazir, Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog Noe Casas, Marta R. Costa-jussà and José A. R. Fonollosa, Compositional generalization by factorizing alignment and translation Ananth Gottumukkala, Dheeru Dua, Sameer Singh and Matt Gardner, Dynamically Adjusting Transformer Batch Size by Monitoring Gradient Direction Change

Children And Family Services Division: Implementation Of Assembly Bill 3176 Regarding Indian Children (Chapter 833, Statutes Of 2018), ACL 20-36 (April 1, 2020) Jiangming Liu, Shay B. Cohen and Mirella Lapata, Dynamic Memory Induction Networks for Few-Shot Text Classification Frank F. Xu, Zhengbao Jiang, Pengcheng Yin, Bogdan Vasilescu and Graham Neubig, Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition Parker Riley, Isaac Caswell, Markus Freitag and David Grangier, TransS-Driven Joint Learning Architecture for Implicit Discourse Relation Recognition Wei Li, Xinyan Xiao, Jiachen Liu, Hua Wu, Haifeng Wang and Junping Du, Line Graph Enhanced AMR-to-Text Generation with Mix-Order Graph Attention Networks Yanbin Zhao, Lu Chen, Zhi Chen, Ruisheng Cao, Su Zhu and Kai Yu, Location Attention for Extrapolation to Longer Sequences At least one author of each accepted paper must register for ACL 2020 by the early registration deadline. Joel Tetreault (Dataminr, USA), Contact Information Mujeen Sung, Hwisang Jeon, Jinhyuk Lee and Jaewoo Kang, Bipartite Flat-Graph Network for Nested Named Entity Recognition Zhenwen Li, Wenhao Wu and Sujian Li, Content Word Aware Neural Machine Translation Danish Pruthi, Mansi Gupta, Bhuwan Dhingra, Graham Neubig and Zachary C. Lipton, Learning to execute instructions in a Minecraft dialogue You are expected to cite all refereed publications relevant to your submission, but you may be excused for not knowing about all unpublished work (especially work that has been recently posted and/or is not widely cited). Yuanzhe Zhang, Zhongtao Jiang, Tao Zhang, Shiwan Liu, Jiarun Cao, Kang Liu, Shengping Liu and Jun Zhao, Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton and Joelle Pineau, Learning Implicit Text Generation via Feature Matching Zhiyong Wu, Yun Chen, Ben Kao and Qun Liu, PeTra: A Sparsely Supervised Memory Model for People Tracking Dirk Hovy, Federico Bianchi and Tommaso Fornaciari, ZPR2: Joint Zero Pronoun Recovery and Resolution using Multi-Task Learning and BERT Yu-An Chung and James Glass, Improving Entity Linking through Semantic Reinforced Entity Embeddings

Hamidreza Shahidi, Ming Li and Jimmy Lin, Uncertain Natural Language Inference You may not update the non-anonymized version during the anonymity period, and we ask you not to advertise it on social media or take other actions that would further compromise double-blind reviewing during the anonymity period.

Short paper submissions must describe original and unpublished work. Yi Zhang, Zachary Ives and Dan Roth, WinoWhy: A Deep Diagnosis of Essential Commonsense Knowledge for Answering Winograd Schema Challenge A Computational Linguistic Perspective of Rape Culture and Victimization on Social Media Xiaodong Liu, Yu Wang, Jianshu Ji, Hao Cheng, Xueyun Zhu, Emmanuel Awa, Pengcheng He, Weizhu Chen, Hoifung Poon, Guihong Cao and Jianfeng Gao, Torch-Struct: Deep Structured Prediction Library ACL 20-124 (November 6, 2020) Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi and Jianxin Liao, Adversarial NLI: A New Benchmark for Natural Language Understanding Each AACL-IJCNLP 2020 submission can be accompanied by a single PDF appendix, one .tgz or .zip archive containing software, and one .tgz or .zip archive containing data. Anonymity period begins: May 1, 2020; Submission deadline (long & short papers): June 3, 2020; Author response period: August 7-13, 2020

Sarthak Jain, Madeleine van Zuylen, Hannaneh Hajishirzi and Iz Beltagy, Screenplay Summarization Using Latent Narrative Structure

Paria Jamshid Lou and Mark Johnson, Improving Event Detection via Open-domain Trigger Knowledge Archiki Prasad and Preethi Jyothi, How does BERT’s attention change when you fine-tune? Ting Zhong, Tianliang Wang, Fan Zhou, Goce Trajcevski, Kunpeng Zhang and Yi Yang, Is Your Classifier Actually Biased? The availability of large amounts of data and computing resources have led to new models and representations and exciting results on many NLP benchmark tasks. Weijie Liu, Peng Zhou, Zhiruo Wang, Zhe Zhao, Haotang Deng and QI JU, Feature Projection for Improved Text Classification Robik Shrestha, Kushal Kafle and Christopher Kanan, A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing Special Instructions for Reviewer and Author Signup: As our field has grown considerably over the last five years, it is important that our reviewing process scales accordingly. Arda Akdemir, Research Replication Prediction Using Weakly Supervised Learning Machine Learning for NLP Wraparound Rate Correction To ACL 20-78 And Sharing Ratios For Foster Family Agencies, Intensive Services Foster Care, Short-Term Residential Therapeutic Programs, Community Treatment Facilities, Group Homes And Transitional Housing Placement – Non-Minor Dependent Programs For Fiscal Year 2020-21, ACL 20-103 (September 8, 2020) Eugeniia Veselova and Konstantin Vorontsov, Transferring Monolingual Model to Low-Resource Language: The Case of Tigrinya Sheena Panthaplackel, Pengyu Nie, Milos Gligoric, Junyi Jessy Li and Raymond Mooney, Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context

Please note that a short paper is not a shortened long paper.