EMNLP

DeepParliament: A Legal domain Benchmark & Dataset for Parliament Bills Prediction

Ankit Pal

Comments Accepted at EMNLP 2022 (UM-IoS)

CodeExp: Explanatory Code Document Generation

Haotian Cui, Chenglong Wang, Junjie Huang, Jeevana Priya Inala, Todd Mytkowicz, Bo Wang, Jianfeng Gao, Nan Duan

Comments Accepted in Findings of EMNLP 2022

Scientific and Creative Analogies in Pretrained Language Models

Tamara Czinczoll, Helen Yannakoudakis, Pushkar Mishra, Ekaterina Shutova

Comments To be published in Findings of EMNLP 2022

MGDoc: Pre-training with Multi-granular Hierarchy for Document Image Understanding

Zilong Wang, Jiuxiang Gu, Chris Tensmeyer, Nikolaos Barmpalios, Ani Nenkova, Tong Sun, Jingbo Shang, Vlad I. Morariu

Comments EMNLP 2022

Towards Better Document-level Relation Extraction via Iterative Inference

Liang Zhang, Jinsong Su, Yidong Chen, Zhongjian Miao, Zijun Min, Qingguo Hu, Xiaodong Shi

Comments Accepted by EMNLP 2022 (long paper)

Intriguing Properties of Compression on Multilingual Models

Kelechi Ogueji, Orevaoghene Ahia, Gbemileke Onilude, Sebastian Gehrmann, Sara Hooker, Julia Kreutzer

Comments Accepted to EMNLP 2022

LVP-M3: Language-aware Visual Prompt for Multilingual Multimodal Machine Translation

Hongcheng Guo, Jiaheng Liu, Haoyang Huang, Jian Yang, Zhoujun Li, Dongdong Zhang, Zheng Cui, Furu Wei

Comments Accepted by EMNLP 2022

OTSeq2Set: An Optimal Transport Enhanced Sequence-to-Set Model for Extreme Multi-label Text Classification

Jie Cao, Yin Zhang

Comments EMNLP 2022

Journal ref EMNLP 2022 (Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing)

MUSIED: A Benchmark for Event Detection from Multi-Source Heterogeneous Informal Texts

Xiangyu Xi, Jianwei Lv, Shuaipeng Liu, Wei Ye, Fan Yang, Guanglu Wan

Comments Accepted at EMNLP 2022

Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality?

Pei Zhang, Baosong Yang, Haoran Wei, Dayiheng Liu, Kai Fan, Luo Si, Jun Xie

Comments accepted to EMNLP 2022

Mask the Correct Tokens: An Embarrassingly Simple Approach for Error Correction

Kai Shen, Yichong Leng, Xu Tan, Siliang Tang, Yuan Zhang, Wenjie Liu, Edward Lin

Comments main track of EMNLP 2022

COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning

Yue Yu, Chenyan Xiong, Si Sun, Chao Zhang, Arnold Overwijk

Comments EMNLP 2022 (Main Conference). The code and Model can be found at https://github.com/OpenMatch/COCO-DR

Journal ref EMNLP 2022

Does Joint Training Really Help Cascaded Speech Translation?

Viet Anh Khoa Tran, David Thulke, Yingbo Gao, Christian Herold, Hermann Ney

Comments Accepted to EMNLP 2022

Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU

Fenia Christopoulou, Gerasimos Lampouras, Ignacio Iacobacci

Comments 17 pages, 4 figures, 6 tables. To appear in EMNLP 2022

NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledge

Revanth Gangi Reddy, Sai Chetan, Zhenhailong Wang, Yi R. Fung, Kathryn Conger, Ahmed Elsayed, Martha Palmer, Preslav Nakov, Eduard Hovy, Kevin Small, Heng Ji

Comments Accepted at EMNLP 2022

Exploring Universal Intrinsic Task Subspace via Prompt Tuning

Yujia Qin, Xiaozhi Wang, Yusheng Su, Yankai Lin, Ning Ding, Jing Yi, Weize Chen, Zhiyuan Liu, Juanzi Li, Lei Hou, Peng Li, Maosong Sun, Jie Zhou

Comments Previously accepted by Findings of ACL 2022 and Findings of EMNLP 2022

Does it care what you asked? Understanding Importance of Verbs in Deep Learning QA System

Barbara Rychalska, Dominika Basaj, Przemyslaw Biecek, Anna Wroblewska

Comments Accepted to Analyzing and interpreting neural networks for NLP workshop at EMNLP 2018

Journal ref 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP

How much should you ask? On the question structure in QA systems

Dominika Basaj, Barbara Rychalska, Przemyslaw Biecek, Anna Wroblewska

Comments Accepted to Analyzing and interpreting neural networks for NLP workshop at EMNLP 2018

Journal ref 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP

Semi-Supervised Lifelong Language Learning

Yingxiu Zhao, Yinhe Zheng, Bowen Yu, Zhiliang Tian, Dongkyu Lee, Jian Sun, Haiyang Yu, Yongbin Li, Nevin L. Zhang

Comments EMNLP Findings 2022 Long Paper

Automatic Generation of Socratic Subquestions for Teaching Math Word Problems

Kumar Shridhar, Jakub Macina, Mennatallah El-Assady, Tanmay Sinha, Manu Kapur, Mrinmaya Sachan

Comments Kumar Shridhar and Jakub Macina contributed equally to this work. Accepted at the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022). Code available: https://github.com/eth-nlped/scaffolding-generation

Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence Modeling

Zhijun Wang, Xuebo Liu, Min Zhang

Comments Accepted to EMNLP 2022

Agent-Specific Deontic Modality Detection in Legal Language

Abhilasha Sancheti, Aparna Garimella, Balaji Vasan Srinivasan, Rachel Rudinger

Comments Accepted at EMNLP 2022

Beyond Prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering Representations

Yu Fei, Ping Nie, Zhao Meng, Roger Wattenhofer, Mrinmaya Sachan

Comments Accepted to EMNLP 2022

Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation

Jinyi Hu, Xiaoyuan Yi, Wenhao Li, Maosong Sun, Xing Xie

Comments EMNLP 2022 Findings

Leveraging Data Recasting to Enhance Tabular Reasoning

Aashna Jena, Vivek Gupta, Manish Shrivastava, Julian Martin Eisenschlos

Comments 14 pages, 10 tables, 3 figues, EMNLP 2022 (Findings)

Executing Instructions in Situated Collaborative Interactions

Alane Suhr, Claudia Yan, Charlotte Schluger, Stanley Yu, Hadi Khader, Marwa Mouallem, Iris Zhang, Yoav Artzi

Comments EMNLP 2019 long paper

Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference

Eric Mitchell, Joseph J. Noh, Siyan Li, William S. Armstrong, Ananth Agarwal, Patrick Liu, Chelsea Finn, Christopher D. Manning

Comments 16 pages. EMNLP 2022 Camera Ready. See https://ericmitchell.ai/emnlp-2022-concord/ for code and data

Eliciting and Understanding Cross-Task Skills with Task-Level Mixture-of-Experts

Qinyuan Ye, Juan Zha, Xiang Ren

Comments Accepted to EMNLP 2022 Findings. Camera-ready version

PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language Models

Yuan Yao, Qianyu Chen, Ao Zhang, Wei Ji, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun

Comments Accepted by EMNLP 2022

SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale

Raphael Tang, Karun Kumar, Gefei Yang, Akshat Pandey, Yajie Mao, Vladislav Belyaev, Madhuri Emmadi, Craig Murray, Ferhan Ture, Jimmy Lin

Comments Accepted to EMNLP 2022 Industry Track; 9 pages, 7 figures