EMNLP

Structured Context and High-Coverage Grammar for Conversational Question Answering over Knowledge Graphs

Pierre Marion, Paweł Krzysztof Nowak, Francesco Piccinno

Comments 16 pages, 1 figure. Accepted to EMNLP 2021

Aligning Cross-lingual Sentence Representations with Dual Momentum Contrast

Liang Wang, Wei Zhao, Jingming Liu

Comments Accepted to EMNLP 2021 main conference

CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations

Hang Li, Yu Kang, Tianqiao Liu, Wenbiao Ding, Zitao Liu

Comments The 2021 Conference on Empirical Methods in Natural Language Processing

An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages

Xinyu Lu, Jipeng Qiang, Yun Li, Yunhao Yuan, Yi Zhu

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2021

Interactive Machine Comprehension with Dynamic Knowledge Graphs

Xingdi Yuan

Comments Accepted at EMNLP 2021

Rethinking Why Intermediate-Task Fine-Tuning Works

Ting-Yun Chang, Chi-Jen Lu

Comments Findings of EMNLP 2021

Thermostat: A Large Collection of NLP Model Explanations and Analysis Tools

Nils Feldhus, Robert Schwarzenberg, Sebastian Möller

Comments Accepted to EMNLP 2021 System Demonstrations

Progressive Transformer-Based Generation of Radiology Reports

Farhad Nooralahzadeh, Nicolas Perez Gonzalez, Thomas Frauenfelder, Koji Fujimoto, Michael Krauthammer

Comments Accepted to findings of EMNLP 2021

Contrastive Domain Adaptation for Question Answering using Limited Text Corpora

Zhenrui Yue, Bernhard Kratzwald, Stefan Feuerriegel

Comments Accepted to EMNLP 2021

Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience

George Chrysostomou, Nikolaos Aletras

Comments EMNLP 2021 Pre-print

Plan-then-Generate: Controlled Data-to-Text Generation via Planning

Yixuan Su, David Vandyke, Sihui Wang, Yimai Fang, Nigel Collier

Comments Accepted to Findings of EMNLP 2021

Discretized Integrated Gradients for Explaining Language Models

Soumya Sanyal, Xiang Ren

Comments Accepted in EMNLP 2021

T3-Vis: a visual analytic framework for Training and fine-Tuning Transformers in NLP

Raymond Li, Wen Xiao, Lanjun Wang, Hyeju Jang, Giuseppe Carenini

Comments 10 pages, 4 figures, accepted to EMNLP 2021 System Demonstration

Semi-Supervised Exaggeration Detection of Health Science Press Releases

Dustin Wright, Isabelle Augenstein

Comments Accepted to EMNLP 2021; 13 pages, 6 figures, 9 tables

Want To Reduce Labeling Cost? GPT-3 Can Help

Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng

Comments Findings of EMNLP 2021, 11 pages

Scheduled Sampling Based on Decoding Steps for Neural Machine Translation

Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou

Comments Code is at https://github.com/Adaxry/ss_on_decoding_steps. To appear in EMNLP-2021 main conference. arXiv admin note: text overlap with arXiv:2107.10427

Few-Shot Table-to-Text Generation with Prototype Memory

Yixuan Su, Zaiqiao Meng, Simon Baker, Nigel Collier

Comments Accepted to Findings of EMNLP 2021

Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer

Gi-Cheon Kang, Junseok Park, Hwaran Lee, Byoung-Tak Zhang, Jin-Hwa Kim

Comments EMNLP 2021 Findings

AEDA: An Easier Data Augmentation Technique for Text Classification

Akbar Karimi, Leonardo Rossi, Andrea Prati

Comments Accepted at EMNLP 2021 Findings

Knowledge Base Completion Meets Transfer Learning

Vid Kocijan, Thomas Lukasiewicz

Comments Presented at EMNLP 2021

Journal ref EMNLP 2021

Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems

Fei Mi, Wanhao Zhou, Fengyu Cai, Lingjing Kong, Minlie Huang, Boi Faltings

Comments Accepted as Long Paper at "EMNLP, 2021"

QACE: Asking Questions to Evaluate an Image Caption

Hwanhee Lee, Thomas Scialom, Seunghyun Yoon, Franck Dernoncourt, Kyomin Jung

Comments EMNLP 2021 Findings

ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models

Pierre L. Dognin, Inkit Padhi, Igor Melnyk, Payel Das

Comments Accepted to appear in the main conference of EMNLP 2021

Cost-effective End-to-end Information Extraction for Semi-structured Document Images

Wonseok Hwang, Hyunji Lee, Jinyeong Yim, Geewook Kim, Minjoon Seo

Comments Accepted at EMNLP 2021

DomiKnowS: A Library for Integration of Symbolic Domain Knowledge in Deep Learning

Hossein Rajaby Faghihi, Quan Guo, Andrzej Uszok, Aliakbar Nafar, Elaheh Raisi, Parisa Kordjamshidi

Comments Accepted at EMNLP 2021 demo track

Evaluating the Robustness of Neural Language Models to Input Perturbations

Milad Moradi, Matthias Samwald

Comments Accepted by EMNLP 2021

Automated Generation of Accurate \& Fluent Medical X-ray Reports

Hoang T. N. Nguyen, Dong Nie, Taivanbat Badamdorj, Yujie Liu, Yingying Zhu, Jason Truong, Li Cheng

Comments accepted in emnlp

LayoutReader: Pre-training of Text and Layout for Reading Order Detection

Zilong Wang, Yiheng Xu, Lei Cui, Jingbo Shang, Furu Wei

Comments EMNLP 2021

YANMTT: Yet Another Neural Machine Translation Toolkit

Raj Dabre, Eiichiro Sumita

Comments Submitted to EMNLP 2021 Demo Track

A Survey of Current Datasets for Vision and Language Research

Francis Ferraro, Nasrin Mostafazadeh, Ting-Hao, Huang, Lucy Vanderwende, Jacob Devlin, Michel Galley, Margaret Mitchell

Comments To appear in EMNLP 2015, short proceedings. Dataset analysis and discussion expanded, including an initial examination into reporting bias for one of them. F.F. and N.M. contributed equally to this work