Publications
Group highlights
(For a full list see below or go to Google Scholar)
We jointly map contextualized text representations to a lower dimensional space and cluster them for syntax induction.
Vikram Gupta, Haoyue Shi, Kevin Gimpel and Mrinmaya Sachan
We design new environments to test the ability of RL agents to utilize commonsense knowledge.
Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Pushkar Shukla, Sadhana Kumaravel, Gerald Tesauro, Kartik Talamadupula, Mrinmaya Sachan and Murray Campbell
We harvest structured knowledge of geometry from math textbooks.
Mrinmaya Sachan, Avinava Dubey, Eduard Hovy, Tom Mitchell, Dan Roth and Eric P. Xing
Computational Linguistics (CL) journal - Dec 2019 issue
We learn a pipeline process that incorporates existing code, pre-learned machine learning models, and human engineered rules.
Mrinmaya Sachan, Avinava Dubey, Tom Mitchell, Dan Roth and Eric P. Xing
We propose a meta-learning approach for universal NMT.
Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig and Tom Mitchell
We learn to solve geometry problems by imitation demonstrations in textbooks.
Mrinmaya Sachan and Eric P. Xing
We propose a structured prediction approach to answer science questions in textbooks.
Mrinmaya Sachan, Avinava Dubey and Eric P. Xing
We propose an approach to answer reading comprehension questions using AMR graph representations.
Mrinmaya Sachan and Eric P. Xing
We propose a structured prediction approach to answer reading comprehension questions.
Mrinmaya Sachan, Avinava Dubey, Eric P. Xing and Matthew Richardson
Full List
Clustering Contextualized Representations of Text for Unsupervised Syntax Induction
Vikram Gupta, Haoyue Shi, Kevin Gimpel and Mrinmaya Sachan
arXiv:2010.12784 (2020)
Stronger Transformers for Neural Multi-Hop Question Generation
Devendra Singh Sachan, Lingfei Wu, Mrinmaya Sachan and William Hamilton
arXiv:2010.11374 (2020)
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
Knowledge Graph Embedding Compression
Mrinmaya Sachan
ACL 2020
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
Parsing to Programs: A Framework for Situated QA
Mrinmaya Sachan and Eric P. Xing
KDD 2018
Self-Training for Jointly Learning to Ask and Answer Questions
Mrinmaya Sachan and Eric P. Xing
NAACL-HLT 2018
Contextual Parameter Generation for Universal Neural Machine Translation
Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig and Tom Mitchell
EMNLP 2018
Effective Use of Bidirectional Language Modeling for Medical Named Entity Recognition
Devendra Singh Sachan, Pengtao Xie, Mrinmaya Sachan and Eric P. Xing
MLHC 2018
From Textbooks to Knowledge: A Case Study in Harvesting Axiomatic Knowledge from Textbooks to Solve Geometry Problems
Mrinmaya Sachan, Avinava Dubey and Eric P. Xing
EMNLP 2017
Learning to Solve Geometry Problems from Natural Language Demonstrations in Textbooks
Mrinmaya Sachan and Eric P. Xing
StarSem 2017
Easy Questions First? A Case Study on Curriculum Learning for Question Answering.
Mrinmaya Sachan and Eric P. Xing
ACL 2016
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 Concept Taxonomies from Multi-modal Data
Hao Zhang, Zhiting Hu, Yuntian Deng, Mrinmaya Sachan, Zhicheng Yan and Eric P. Xing
ACL 2016
Grounding Topic Models with Knowledge Bases
Zhiting Hu, Gang Luo, Mrinmaya Sachan, Eric P. Xing and Zaiqing Nie
IJCAI 2016
Learning Answer-Entailing Structures for Machine Comprehension
Mrinmaya Sachan, Avinava Dubey, Eric P. Xing and Matthew Richardson
ACL 2015 (Outstanding paper)
An Active Learning Approach to Coreference Resolution.
Mrinmaya Sachan, Eduard H. Hovy and Eric P. Xing
IJCAI 2015