EMNLP

SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization

Hyunwoo Kim, Jack Hessel, Liwei Jiang, Peter West, Ximing Lu, Youngjae Yu, Pei Zhou, Ronan Le Bras, Malihe Alikhani, Gunhee Kim, Maarten Sap, Yejin Choi

Comments EMNLP 2023. Dataset, model, and code can be found at https://hyunw.kim/sodaverse

MaXM: Towards Multilingual Visual Question Answering

Soravit Changpinyo, Linting Xue, Michal Yarom, Ashish V. Thapliyal, Idan Szpektor, Julien Amelot, Xi Chen, Radu Soricut

Comments EMNLP 2023 (Findings). https://github.com/google-research-datasets/maxm

Verb Conjugation in Transformers Is Determined by Linear Encodings of Subject Number

Sophie Hao, Tal Linzen

Comments To appear in Findings of the Association for Computational Linguistics: EMNLP 2023

Quantifying the Dialect Gap and its Correlates Across Languages

Anjali Kantharuban, Ivan Vulić, Anna Korhonen

Comments Accepted to EMNLP Findings 2023

Location-Aware Visual Question Generation with Lightweight Models

Nicholas Collin Suwono, Justin Chih-Yao Chen, Tun Min Hung, Ting-Hao Kenneth Huang, I-Bin Liao, Yung-Hui Li, Lun-Wei Ku, Shao-Hua Sun

Comments EMNLP 2023

GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs

Yichuan Li, Kaize Ding, Kyumin Lee

Comments Findings of EMNLP 2023

LLM-in-the-loop: Leveraging Large Language Model for Thematic Analysis

Shih-Chieh Dai, Aiping Xiong, Lun-Wei Ku

Comments EMNLP 2023 Findings

'Don't Get Too Technical with Me': A Discourse Structure-Based Framework for Science Journalism

Ronald Cardenas, Bingsheng Yao, Dakuo Wang, Yufang Hou

Comments Accepted to EMNLP 2023

Localizing Active Objects from Egocentric Vision with Symbolic World Knowledge

Te-Lin Wu, Yu Zhou, Nanyun Peng

Comments In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Towards Conceptualization of "Fair Explanation": Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators

Tin Nguyen, Jiannan Xu, Aayushi Roy, Hal Daumé, Marine Carpuat

Comments EMNLP 2023 Main Conference (Long Paper)

Coordinated Replay Sample Selection for Continual Federated Learning

Jack Good, Jimit Majmudar, Christophe Dupuy, Jixuan Wang, Charith Peris, Clement Chung, Richard Zemel, Rahul Gupta

Comments 7 pages, 6 figures, accepted to EMNLP (industry track)

SLOG: A Structural Generalization Benchmark for Semantic Parsing

Bingzhi Li, Lucia Donatelli, Alexander Koller, Tal Linzen, Yuekun Yao, Najoung Kim

Comments Accepted to EMNLP 2023

When Language Models Fall in Love: Animacy Processing in Transformer Language Models

Michael Hanna, Yonatan Belinkov, Sandro Pezzelle

Comments To appear at EMNLP 2023

Simple Hardware-Efficient PCFGs with Independent Left and Right Productions

Wei Liu, Songlin Yang, Yoon Kim, Kewei Tu

Comments Accepted to Findings of EMNLP, 2023

Understanding the Inner Workings of Language Models Through Representation Dissimilarity

Davis Brown, Charles Godfrey, Nicholas Konz, Jonathan Tu, Henry Kvinge

Comments EMNLP 2023 (main)

Fidelity-Enriched Contrastive Search: Reconciling the Faithfulness-Diversity Trade-Off in Text Generation

Wei-Lin Chen, Cheng-Kuang Wu, Hsin-Hsi Chen, Chung-Chi Chen

Comments Accepted as a short paper at EMNLP 2023

ACTOR: Active Learning with Annotator-specific Classification Heads to Embrace Human Label Variation

Xinpeng Wang, Barbara Plank

Comments EMNLP 2023 Main

Towards LLM-driven Dialogue State Tracking

Yujie Feng, Zexin Lu, Bo Liu, Liming Zhan, Xiao-Ming Wu

Comments Accepted at EMNLP 2023

System Combination via Quality Estimation for Grammatical Error Correction

Muhammad Reza Qorib, Hwee Tou Ng

Comments EMNLP 2023

Intuitive Multilingual Audio-Visual Speech Recognition with a Single-Trained Model

Joanna Hong, Se Jin Park, Yong Man Ro

Comments EMNLP 2023 Findings

Non-autoregressive Streaming Transformer for Simultaneous Translation

Zhengrui Ma, Shaolei Zhang, Shoutao Guo, Chenze Shao, Min Zhang, Yang Feng

Comments EMNLP 2023 main conference; Source code is available at https://github.com/ictnlp/NAST

Adaptive Policy with Wait-$k$ Model for Simultaneous Translation

Libo Zhao, Kai Fan, Wei Luo, Jing Wu, Shushu Wang, Ziqian Zeng, Zhongqiang Huang

Comments Accept to EMNLP 2023 main conference. 17 pages, 12 figures, 5 tables

Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP

Hyuhng Joon Kim, Hyunsoo Cho, Sang-Woo Lee, Junyeob Kim, Choonghyun Park, Sang-goo Lee, Kang Min Yoo, Taeuk Kim

Comments Findings of EMNLP 2023

Transparency at the Source: Evaluating and Interpreting Language Models With Access to the True Distribution

Jaap Jumelet, Willem Zuidema

Comments EMNLP Findings 2023

ALCUNA: Large Language Models Meet New Knowledge

Xunjian Yin, Baizhou Huang, Xiaojun Wan

Comments EMNLP 2023

What do Deck Chairs and Sun Hats Have in Common? Uncovering Shared Properties in Large Concept Vocabularies

Amit Gajbhiye, Zied Bouraoui, Na Li, Usashi Chatterjee, Luis Espinosa Anke, Steven Schockaert

Comments Accepted for EMNLP 2023

Geographical Erasure in Language Generation

Pola Schwöbel, Jacek Golebiowski, Michele Donini, Cédric Archambeau, Danish Pruthi

Comments EMNLP 2023 Findings

Evaluating the Knowledge Base Completion Potential of GPT

Blerta Veseli, Simon Razniewski, Jan-Christoph Kalo, Gerhard Weikum

Comments 12 pages 4 tables

Journal ref Findings of EMNLP 2023

SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Research

Dimosthenis Antypas, Asahi Ushio, Francesco Barbieri, Leonardo Neves, Kiamehr Rezaee, Luis Espinosa-Anke, Jiaxin Pei, Jose Camacho-Collados

Comments EMNLP 2023 Findings

Once Upon a $\textit{Time}$ in $\textit{Graph}$: Relative-Time Pretraining for Complex Temporal Reasoning

Sen Yang, Xin Li, Lidong Bing, Wai Lam

Comments EMNLP 2023 main