EMNLP

ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation

Zhaocong Li, Xuebo Liu, Derek F. Wong, Lidia S. Chao, Min Zhang

Comments Accepted to EMNLP 2022

Scientific Paper Extractive Summarization Enhanced by Citation Graphs

Xiuying Chen, Mingzhe Li, Shen Gao, Rui Yan, Xin Gao, Xiangliang Zhang

Comments 10 pages, 4 figure

Journal ref EMNLP 2022

Learning Action-Effect Dynamics for Hypothetical Vision-Language Reasoning Task

Shailaja Keyur Sampat, Pratyay Banerjee, Yezhou Yang, Chitta Baral

Comments 11 pages, 9 figures; Accepted at Findings of EMNLP 2022. arXiv admin note: substantial text overlap with arXiv:2212.03433

Measuring Context-Word Biases in Lexical Semantic Datasets

Qianchu Liu, Diana McCarthy, Anna Korhonen

Comments EMNLP 2022 main conference long paper

JamPatoisNLI: A Jamaican Patois Natural Language Inference Dataset

Ruth-Ann Armstrong, John Hewitt, Christopher Manning

Comments 14 pages, 3 figures, Findings of EMNLP 2022

Cheater's Bowl: Human vs. Computer Search Strategies for Open-Domain Question Answering

Wanrong He, Andrew Mao, Jordan Boyd-Graber

Comments Findings of EMNLP 2022

AfroLID: A Neural Language Identification Tool for African Languages

Ife Adebara, AbdelRahim Elmadany, Muhammad Abdul-Mageed, Alcides Alcoba Inciarte

Comments To appear at EMNLP 2022 Main conference

LawngNLI: A Long-Premise Benchmark for In-Domain Generalization from Short to Long Contexts and for Implication-Based Retrieval

William Bruno, Dan Roth

Comments Findings of EMNLP 2022

POQue: Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events

Sai Vallurupalli, Sayontan Ghosh, Katrin Erk, Niranjan Balasubramanian, Francis Ferraro

Comments Accepted to EMNLP 2022 main conference as a long paper

Language Models of Code are Few-Shot Commonsense Learners

Aman Madaan, Shuyan Zhou, Uri Alon, Yiming Yang, Graham Neubig

Comments EMNLP 2022

Transformer Language Models without Positional Encodings Still Learn Positional Information

Adi Haviv, Ori Ram, Ofir Press, Peter Izsak, Omer Levy

Comments Findings of EMNLP 2022

Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale

Laurent Sartran, Samuel Barrett, Adhiguna Kuncoro, Miloš Stanojević, Phil Blunsom, Chris Dyer

Comments 17 pages, 5 figures, 2 tables and 1 algorithm. To appear in TACL, to be presented at EMNLP 2022

Sharpness-Aware Minimization with Dynamic Reweighting

Wenxuan Zhou, Fangyu Liu, Huan Zhang, Muhao Chen

Comments Findings of EMNLP 2022

Meta-Learning Fast Weight Language Models

Kevin Clark, Kelvin Guu, Ming-Wei Chang, Panupong Pasupat, Geoffrey Hinton, Mohammad Norouzi

Comments EMNLP 2022 short paper

Syntactic Multi-view Learning for Open Information Extraction

Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li

Comments To appear in EMNLP 2022

Journal ref EMNLP 2022

Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer

Zhengbao Jiang, Luyu Gao, Jun Araki, Haibo Ding, Zhiruo Wang, Jamie Callan, Graham Neubig

Comments EMNLP 2022

Wish I Can Feel What You Feel: A Neural Approach for Empathetic Response Generation

Yangbin Chen, Chunfeng Liang

Comments 12 pages, 6 figures, 3 tables. Accepted by Findings of EMNLP 2022

Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation

Faeze Brahman, Baolin Peng, Michel Galley, Sudha Rao, Bill Dolan, Snigdha Chaturvedi, Jianfeng Gao

Comments EMNLP 2022 Findings camera-ready

Pair-Based Joint Encoding with Relational Graph Convolutional Networks for Emotion-Cause Pair Extraction

Junlong Liu, Xichen Shang, Qianli Ma

Comments Accepted to EMNLP 2022

Constructing Highly Inductive Contexts for Dialogue Safety through Controllable Reverse Generation

Zhexin Zhang, Jiale Cheng, Hao Sun, Jiawen Deng, Fei Mi, Yasheng Wang, Lifeng Shang, Minlie Huang

Comments Findings of EMNLP 2022

Towards Robust NLG Bias Evaluation with Syntactically-diverse Prompts

Arshiya Aggarwal, Jiao Sun, Nanyun Peng

Comments EMNLP Findings 2022

Learning Label Modular Prompts for Text Classification in the Wild

Hailin Chen, Amrita Saha, Shafiq Joty, Steven C. H. Hoi

Comments accepted to EMNLP 2022

Multilingual Machine Translation with Hyper-Adapters

Christos Baziotis, Mikel Artetxe, James Cross, Shruti Bhosale

Comments EMNLP 2022 camera-ready version. Code at github.com/cbaziotis/fairseq under the "hyperadapters" branch (see instructions at https://github.com/cbaziotis/fairseq/tree/hyperadapters/examples/adapters)

PreQuEL: Quality Estimation of Machine Translation Outputs in Advance

Shachar Don-Yehiya, Leshem Choshen, Omri Abend

Comments Accepted to the main conference of EMNLP 2022

T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation

Anubhav Jangra, Preksha Nema, Aravindan Raghuveer

Comments Accepted in EMNLP 2022

Intermediate Entity-based Sparse Interpretable Representation Learning

Diego Garcia-Olano, Yasumasa Onoe, Joydeep Ghosh, Byron C. Wallace

Comments Accepted into BlackBox NLP Workshop at EMNLP 2022

Named Entity and Relation Extraction with Multi-Modal Retrieval

Xinyu Wang, Jiong Cai, Yong Jiang, Pengjun Xie, Kewei Tu, Wei Lu

Comments Findings of EMNLP 2022. Code is publicly available at http://github.com/modelscope/adaseq/examples/MoRe

End-to-End Neural Discourse Deixis Resolution in Dialogue

Shengjie Li, Vincent Ng

Comments Accepted as a long paper to EMNLP 2022

Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionality

Anuj Diwan, Layne Berry, Eunsol Choi, David Harwath, Kyle Mahowald

Comments Accepted at EMNLP 2022. We release our annotation and code at https://github.com/ajd12342/why-winoground-hard . 15 pages, 3 figures

Debiasing Masks: A New Framework for Shortcut Mitigation in NLU

Johannes Mario Meissner, Saku Sugawara, Akiko Aizawa

Comments EMNLP 2022