Group highlights

Logical Fallacy Detection

Zhijing Jin, Abhinav Lalwani, Tejas Vaidhya, Xiaoyu Shen, Yiwen Ding, Zhiheng Lyu, Mrinmaya Sachan, Rada Mihalcea and Bernhard Schölkopf


Understanding Knowledge Integration in Language Models with Graph Convolutions

Yifan Hou, Guoji Fu and Mrinmaya Sachan

arxiv:2202.00964   Code    

Learning the Transformer Kernel

Sankalan Pal Chowdhury, Adamos Solomou, Avinava Dubey and Mrinmaya Sachan


Probing via Prompting

Jiaoda Li, Ryan Cotterell and Mrinmaya Sachan

NAACL 2022      

BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation

Yuchen Eleanor Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Jian Yang, Haoyang Huang, Rico Sennrich, Mrinmaya Sachan, Ryan Cotterell and Ming Zhou

NAACL 2022      

A Structured Span Selector

Tianyu Liu, Yuchen Eleanor Jiang, Ryan D Cotterell and Mrinmaya Sachan

NAACL 2022      

Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance

Jingwei Ni, Zhijing Jin, Markus Freitag, Mrinmaya Sachan and Bernhard Schölkopf

NAACL 2022      

Self-Supervised Contrastive Learning with Adversarial Perturbations for Robust Pretrained Language Models

Zhao Meng, Yihan Dong, Mrinmaya Sachan and Roger Wattenhofer

NAACL 2022 (Findings)      

Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang

Daphna Keidar, Andreas Opedal, Zhijing Jin and Mrinmaya Sachan

ACL 2022      

Calibration of Machine Reading Systems at Scale

Shehzaad Dhuliawala, Leonard Adolphs, Rajarshi Das and Mrinmaya Sachan

ACL 2022 (Findings)      

Case-based Reasoning for Better Generalization in Text-Adventure Games

Mattia Atzeni, Shehzaad Dhuliawala, Keerthiram Murugesan and Mrinmaya Sachan

ICLR (2022)      

Deep Clustering of Text Representations for Supervision-free Probing of Syntax

Vikram Gupta, Haoyue Shi, Kevin Gimpel and Mrinmaya Sachan

AAAI (2022)      

Causal Direction in Data Matters: Implications of Causal and Anticausal Learning in NLP

Zhijing Jin, Julius von Kugelgen, Jingwei Ni, Tejas Vaidhya, Ayush Kaushal, Mrinmaya Sachan and Bernhard Schoelkopf

EMNLP 2021      

Let Your Characters Tell Their Story: A Dataset for Character-Centric Narrative Understanding

Faeze Brahman, Meng Huang, Oyvind Tafjord, Chao Zhao, Mrinmaya Sachan and Snigdha Chaturvedi

Findings of EMNLP 2021      

Differentiable Subset Pruning of Transformer Heads

Jiaoda Li, Ryan Cotterell and Mrinmaya Sachan

TACL 2021   Code    

Bird's Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach

Yifan Hou and Mrinmaya Sachan

ACL (2021)   Code    

Scaling Within Document Coreference for Long Texts

Raghuveer Thirukovalluru, Nicholas Monath, Kumar Shridhar, Manzil Zaheer, Mrinmaya Sachan and Andrew McCallum

Findings of ACL (2021)      

How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact

Zhijing Jin, Geeticka Chauhan, Brian Tse, Mrinmaya Sachan and Rada Mihalcea

Findings of ACL (2021)      

Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations

Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi,Kartik Talamadupula, Mrinmaya Sachan and Murray Campbell

ACL Short (2021)      

Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines

Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Pushkar Shukla, Sadhana Kumaravel, Gerald Tesauro, Kartik Talamadupula, Mrinmaya Sachan and Murray Campbell

AAAI 2021      

Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks

Mrinmaya Sachan, Avinava Dubey, Eduard Hovy, Tom Mitchell, Dan Roth and Eric P. Xing

Computational Linguistics (CL) journal - Dec 2019 issue      

Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems

Mrinmaya Sachan, Avinava Dubey, Tom Mitchell, Dan Roth and Eric P. Xing

NeurIPS 2018      

Contextual Parameter Generation for Universal Neural Machine Translation

Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig and Tom Mitchell

EMNLP 2018      

Learning to Solve Geometry Problems from Natural Language Demonstrations in Textbooks

Mrinmaya Sachan and Eric P. Xing

StarSem 2017      

Science Question Answering using Instructional Materials

Mrinmaya Sachan, Avinava Dubey and Eric P. Xing

ACL 2016 (Short)      

Machine Comprehension using Rich Semantic Representations

Mrinmaya Sachan and Eric P. Xing

ACL 2016 (Short)      

Learning Answer-Entailing Structures for Machine Comprehension

Mrinmaya Sachan, Avinava Dubey, Eric P. Xing and Matthew Richardson

ACL 2015 (Outstanding paper)