Graham Neubig

Learning to Scaffold: Optimizing Model Explanations for Teaching

Patrick Fernandes, Marcos Treviso, Danish Pruthi, André F. T. Martins, Graham Neubig

Comments 10 pages. NeurIPS 2022

MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition

David Ifeoluwa Adelani, Graham Neubig, Sebastian Ruder, Shruti Rijhwani, Michael Beukman, Chester Palen-Michel, Constantine Lignos, Jesujoba O. Alabi, Shamsuddeen H. Muhammad, Peter Nabende, Cheikh M. Bamba Dione, Andiswa Bukula, Rooweither Mabuya, Bonaventure F. P. Dossou, Blessing Sibanda, Happy Buzaaba, Jonathan Mukiibi, Godson Kalipe, Derguene Mbaye, Amelia Taylor, Fatoumata Kabore, Chris Chinenye Emezue, Anuoluwapo Aremu, Perez Ogayo, Catherine Gitau, Edwin Munkoh-Buabeng, Victoire M. Koagne, Allahsera Auguste Tapo, Tebogo Macucwa, Vukosi Marivate, Elvis Mboning, Tajuddeen Gwadabe, Tosin Adewumi, Orevaoghene Ahia, Joyce Nakatumba-Nabende, Neo L. Mokono, Ignatius Ezeani, Chiamaka Chukwuneke, Mofetoluwa Adeyemi, Gilles Q. Hacheme, Idris Abdulmumin, Odunayo Ogundepo, Oreen Yousuf, Tatiana Moteu Ngoli, Dietrich Klakow

Comments Accepted to EMNLP 2022 (updated Github link)

English Contrastive Learning Can Learn Universal Cross-lingual Sentence Embeddings

Yau-Shian Wang, Ashley Wu, Graham Neubig

Comments accepted by EMNLP 2022

DiffusER: Discrete Diffusion via Edit-based Reconstruction

Machel Reid, Vincent J. Hellendoorn, Graham Neubig

Comments Preprint. Work in progress

He Said, She Said: Style Transfer for Shifting the Perspective of Dialogues

Amanda Bertsch, Graham Neubig, Matthew R. Gormley

Comments Findings of EMNLP 2022, 18 pages

Are Representations Built from the Ground Up? An Empirical Examination of Local Composition in Language Models

Emmy Liu, Graham Neubig

Comments EMNLP 2022

A Multi-dimensional Evaluation of Tokenizer-free Multilingual Pretrained Models

Jimin Sun, Patrick Fernandes, Xinyi Wang, Graham Neubig

CTC Alignments Improve Autoregressive Translation

Brian Yan, Siddharth Dalmia, Yosuke Higuchi, Graham Neubig, Florian Metze, Alan W Black, Shinji Watanabe

Understanding and Improving Zero-shot Multi-hop Reasoning in Generative Question Answering

Zhengbao Jiang, Jun Araki, Haibo Ding, Graham Neubig

Comments COLING 2022

KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models

Haris Widjaja, Kiril Gashteovski, Wiem Ben Rim, Pengfei Liu, Christopher Malon, Daniel Ruffinelli, Carolin Lawrence, Graham Neubig

Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations

Siddhant Arora, Danish Pruthi, Norman Sadeh, William W. Cohen, Zachary C. Lipton, Graham Neubig

Comments AAAI 2022

OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering

Zhengbao Jiang, Yi Mao, Pengcheng He, Graham Neubig, Weizhu Chen

Comments NAACL 2022

Building African Voices

Perez Ogayo, Graham Neubig, Alan W Black

Teacher Perception of Automatically Extracted Grammar Concepts for L2 Language Learning

Aditi Chaudhary, Arun Sampath, Ashwin Sheshadri, Antonios Anastasopoulos, Graham Neubig

Comments 18 pages

Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval

Uri Alon, Frank F. Xu, Junxian He, Sudipta Sengupta, Dan Roth, Graham Neubig

Comments Accepted to ICML'2022. Code and models are available at https://github.com/neulab/retomaton

Learning to Model Editing Processes

Machel Reid, Graham Neubig

Interpreting Language Models with Contrastive Explanations

Kayo Yin, Graham Neubig

Table Retrieval May Not Necessitate Table-specific Model Design

Zhiruo Wang, Zhengbao Jiang, Eric Nyberg, Graham Neubig

Comments 11 pages total, 4 figures

Testing the Ability of Language Models to Interpret Figurative Language

Emmy Liu, Chen Cui, Kenneth Zheng, Graham Neubig

Comments NAACL 2022

A Systematic Evaluation of Large Language Models of Code

Frank F. Xu, Uri Alon, Graham Neubig, Vincent J. Hellendoorn

Comments DL4C@ICLR 2022, and MAPS@PLDI 2022

Quality-Aware Decoding for Neural Machine Translation

Patrick Fernandes, António Farinhas, Ricardo Rei, José G. C. de Souza, Perez Ogayo, Graham Neubig, André F. T. Martins

Comments NAACL2022

Distributionally Robust Models with Parametric Likelihood Ratios

Paul Michel, Tatsunori Hashimoto, Graham Neubig

Comments ICLR 2022

Expanding Pretrained Models to Thousands More Languages via Lexicon-based Adaptation

Xinyi Wang, Sebastian Ruder, Graham Neubig

Comments ACL 2022

Breaking Down Multilingual Machine Translation

Ting-Rui Chiang, Yi-Pei Chen, Yi-Ting Yeh, Graham Neubig

Comments ACL 2022 Findings

Learning to Superoptimize Real-world Programs

Alex Shypula, Pengcheng Yin, Jeremy Lacomis, Claire Le Goues, Edward Schwartz, Graham Neubig

Comments Best Paper, ICLR 2022 Deep Learning for Code workshop

BRIO: Bringing Order to Abstractive Summarization

Yixin Liu, Pengfei Liu, Dragomir Radev, Graham Neubig

Comments ACL 2022

AUTOLEX: An Automatic Framework for Linguistic Exploration

Aditi Chaudhary, Zaid Sheikh, David R Mortensen, Antonios Anastasopoulos, Graham Neubig

Comments 9 pages

Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data

Shuyan Zhou, Li Zhang, Yue Yang, Qing Lyu, Pengcheng Yin, Chris Callison-Burch, Graham Neubig

Comments ACL 2022

AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages

Abteen Ebrahimi, Manuel Mager, Arturo Oncevay, Vishrav Chaudhary, Luis Chiruzzo, Angela Fan, John Ortega, Ricardo Ramos, Annette Rios, Ivan Meza-Ruiz, Gustavo A. Giménez-Lugo, Elisabeth Mager, Graham Neubig, Alexis Palmer, Rolando Coto-Solano, Ngoc Thang Vu, Katharina Kann

Comments Accepted to ACL 2022

DataLab: A Platform for Data Analysis and Intervention

Yang Xiao, Jinlan Fu, Weizhe Yuan, Vijay Viswanathan, Zhoumianze Liu, Yixin Liu, Graham Neubig, Pengfei Liu

Comments DataLab Web Platform: http://datalab.nlpedia.ai/