The University of Massachusetts Amherst
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Published Papers Resulting from Industry Mentorship Projects

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.

 

  1. 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
  2. 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
  3. 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
  4. The impact of preprint servers in the formation of novel ideas, Swarup Satish, Zonghai Yao, Andrew Drozdov, Boris Veytsman, SDP @ EMNLP 2020
  5. Reading Comprehension as Natural Language Inference: A Semantic Analysis, Anshuman Mishra, Dhruvesh Patel, Aparna Vijayakumar, Xiang Li, Pavan Kapanipathi, Kartik Talamadupula, SEM 2020
  6. Fast Intent Classification for Spoken Language Understanding, Akshit Tyagi, Varun Sharma, Rahul Gupta, Lynn Samson, Nan Zhuang, Zihang Wang, Bill Campbell, ICASSP 2020
  7. Relation-Dependent Sampling for Multi-Relational Link Prediction, Arthur Feeney, Rishabh Gupta, Rico Angell, Gayathri Chandu, Yash Adhikari, Veronkia Thost, Tengfei Ma, ICML 2020
  8. 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