The Industry Mentorship Program is fertile breeding ground for academic papers. We are proud that each year many projects result in papers accepted at prestigious academic conferences.
- Roll Call Vote Prediction with Knowledge Augmented Models, Kriti Myer, Pallavi Patil, Ronak Zala, Arpit Singh, Sheshera Mysore, Andrew McCallum, Adrian Benton, Amanda Stent, EMNLP 2019
- Evaluating Tree Explanation Methods for Anomaly Reasoning: A Case Study of SHAP TreeExplainer and TreeInterpreter, Pulkit Sharma, Apurva Bhandari, Shezan Rohinton Mirzan, Anish Pimpley, Abhiram Eswaran, Soundar Srinivasan, Liqun Shao, CMAI 2020
- Compressing Transformer-Based Semantic Parsing Models using Compositional Code Embeddings, Wenlong Zhao, Saurabh Kumar Shashidhar, Prafull Prakash, Subendhu Rongali, Haidar Khan, Michael Kayser, EMNLP 2020
- The impact of preprint servers in the formation of novel ideas, Swarup Satish, Zonghai Yao, Andrew Drozdov, Boris Veytsman, SDP @ EMNLP 2020
- Reading Comprehension as Natural Language Inference: A Semantic Analysis, Anshuman Mishra, Dhruvesh Patel, Aparna Vijayakumar, Xiang Li, Pavan Kapanipathi, Kartik Talamadupula, SEM 2020
- Fast Intent Classification for Spoken Language Understanding, Akshit Tyagi, Varun Sharma, Rahul Gupta, Lynn Samson, Nan Zhuang, Zihang Wang, Bill Campbell, ICASSP 2020
- Relation-Dependent Sampling for Multi-Relational Link Prediction, Arthur Feeney, Rishabh Gupta, Rico Angell, Gayathri Chandu, Yash Adhikari, Veronkia Thost, Tengfei Ma, ICML 2020
- Unsupervised Pre-training for Biomedical Question Answering, Vaishnavi Kommaraju, Karthick Gunasekaran, Kun Li, Trapit Bansal, Ivana Williams, Andrew McCallum, Ana-Maria Istrate, BioASQ Workshop 2020
