EMNLP

Visual Cues and Error Correction for Translation Robustness

Zhenhao Li, Marek Rei, Lucia Specia

Comments Accepted at Findings of EMNLP 2021; add acknowledgements

Linguistic Dependencies and Statistical Dependence

Jacob Louis Hoover, Alessandro Sordoni, Wenyu Du, Timothy J. O'Donnell

Comments EMNLP2021 camera-ready version. 9 pages, plus references and appendices

Journal ref Proceedings EMNLP (2021), 2941--2963

Generating Radiology Reports via Memory-driven Transformer

Zhihong Chen, Yan Song, Tsung-Hui Chang, Xiang Wan

Comments Natural Language Processing. 11 pages, 6 figures. EMNLP-2020

Discovering changes in birthing narratives during COVID-19

Daphna Spira, Noreen Mayat, Caitlin Dreisbach, Adam Poliak

Comments Presented at the Fifth Widening NLP Workshop (WiNLP) @ EMNLP (2021)

ARCH: Efficient Adversarial Regularized Training with Caching

Simiao Zuo, Chen Liang, Haoming Jiang, Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Tuo Zhao

Comments EMNLP 2021 (findings)

Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach

Simiao Zuo, Chen Liang, Haoming Jiang, Xiaodong Liu, Pengcheng He, Jianfeng Gao, Weizhu Chen, Tuo Zhao

Comments EMNLP 2021

Is BERT a Cross-Disciplinary Knowledge Learner? A Surprising Finding of Pre-trained Models' Transferability

Wei-Tsung Kao, Hung-Yi Lee

Comments Findings of EMNLP 2021

STraTA: Self-Training with Task Augmentation for Better Few-shot Learning

Tu Vu, Minh-Thang Luong, Quoc V. Le, Grady Simon, Mohit Iyyer

Comments Accepted as a main conference paper at EMNLP 2021, 17 pages, 3 figures, 11 tables

On Pursuit of Designing Multi-modal Transformer for Video Grounding

Meng Cao, Long Chen, Mike Zheng Shou, Can Zhang, Yuexian Zou

Comments Accepted by Conference on Empirical Methods in Natural Language Processing (EMNLP 2021, Oral)

Word-Level Coreference Resolution

Vladimir Dobrovolskii

Comments Accepted to EMNLP-2021

Journal ref In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (pp. 7670-7675). Association for Computational Linguistics 2021

MMTAfrica: Multilingual Machine Translation for African Languages

Chris C. Emezue, Bonaventure F. P. Dossou

Comments WMT Shared Task, EMNLP 2021 (version 2)

Journal ref Proceedings of the Sixth Conference on Machine Translation (2021) 398-411, Association for Computational Linguistics

PharmMT: A Neural Machine Translation Approach to Simplify Prescription Directions

Jiazhao Li, Corey Lester, Xinyan Zhao, Yuting Ding, Yun Jiang, V. G. Vinod Vydiswaran

Comments Findings of EMNLP '20 Camera Ready

Journal ref Findings of EMNLP (2020) 2785--2796

Corpus-based Open-Domain Event Type Induction

Jiaming Shen, Yunyi Zhang, Heng Ji, Jiawei Han

Comments 15 pages, EMNLP 2021 main conference, updated for new related work

IndoNLI: A Natural Language Inference Dataset for Indonesian

Rahmad Mahendra, Alham Fikri Aji, Samuel Louvan, Fahrurrozi Rahman, Clara Vania

Comments Accepted at EMNLP 2021 main conference

Journal ref https://aclanthology.org/2021.emnlp-main.821/

Uncertainty-Aware Machine Translation Evaluation

Taisiya Glushkova, Chrysoula Zerva, Ricardo Rei, André F. T. Martins

Comments Findings of EMNLP 2021 v2: corrected typos (esp. Tab 5)

CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, Yejin Choi

Journal ref EMNLP 2021

Universal Simultaneous Machine Translation with Mixture-of-Experts Wait-k Policy

Shaolei Zhang, Yang Feng

Comments Accepted at EMNLP 2021 (main conference). 12 pages, 7 figures, 4 tables

COSMic: A Coherence-Aware Generation Metric for Image Descriptions

Mert İnan, Piyush Sharma, Baber Khalid, Radu Soricut, Matthew Stone, Malihe Alikhani

Comments 12 pages, 4 figures, Findings of the Association for Computational Linguistics: EMNLP 2021

Journal ref https://aclanthology.org/2021.findings-emnlp.291

Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation

Max Bartolo, Tristan Thrush, Robin Jia, Sebastian Riedel, Pontus Stenetorp, Douwe Kiela

Comments EMNLP 2021

Journal ref Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, p.8830-8848. Association for Computational Linguistics

When differential privacy meets NLP: The devil is in the detail

Ivan Habernal

Comments Camera-ready for EMNLP 2021

Argotario: Computational Argumentation Meets Serious Games

Ivan Habernal, Raffael Hannemann, Christian Pollak, Christopher Klamm, Patrick Pauli, Iryna Gurevych

Comments EMNLP 2017 demo paper. Source codes: https://github.com/UKPLab/argotario

What is the Essence of a Claim? Cross-Domain Claim Identification

Johannes Daxenberger, Steffen Eger, Ivan Habernal, Christian Stab, Iryna Gurevych

Comments Published at EMNLP 2017: http://www.aclweb.org/anthology/D/D17/D17-1217.pdf

Controllable Semantic Parsing via Retrieval Augmentation

Panupong Pasupat, Yuan Zhang, Kelvin Guu

Comments EMNLP 2021

Simple Entity-Centric Questions Challenge Dense Retrievers

Christopher Sciavolino, Zexuan Zhong, Jinhyuk Lee, Danqi Chen

Comments EMNLP 2021. The code and data is publicly available at https://github.com/princeton-nlp/EntityQuestions

Models and Datasets for Cross-Lingual Summarisation

Laura Perez-Beltrachini, Mirella Lapata

Comments EMNLP 2021

User Response and Sentiment Prediction for Automatic Dialogue Evaluation

Sarik Ghazarian, Behnam Hedayatnia, Alexandros Papangelis, Yang Liu, Dilek Hakkani-Tur

Comments Accepted at EMNLP 2021 Evaluations and Assessments of Neural Conversation Systems Workshop. 2 pages, 1 table

Tecnologica cosa: Modeling Storyteller Personalities in Boccaccio's Decameron

A. Feder Cooper, Maria Antoniak, Christopher De Sa, Marilyn Migiel, David Mimno

Comments The 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (co-located with EMNLP 2021)

The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers

Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber

Comments Accepted to EMNLP 2021

Pairwise Supervised Contrastive Learning of Sentence Representations

Dejiao Zhang, Shang-Wen Li, Wei Xiao, Henghui Zhu, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang

Comments 9 pages, EMNLP 2021

A Secure and Efficient Federated Learning Framework for NLP

Jieren Deng, Chenghong Wang, Xianrui Meng, Yijue Wang, Ji Li, Sheng Lin, Shuo Han, Fei Miao, Sanguthevar Rajasekaran, Caiwen Ding

Comments Accepted by EMNLP 2021