Abhirut Gupta

Abhirut Gupta



Research Software Engineer

Google Research


I work as a Software Engineer on the Advertisement Sciences team in Google Research, Bangalore. At Google, my work broadly encompasses various aspects of query understanding. My research interests include Natural Language Processing and Machine Translation, with a focus on low resource scenarios. I finished my Masters from IIT Bombay in 2014, and my Bachelors in Computer Science from NIT Nagpur in 2012. From 2014 to Feb 2020, I worked as a Software Engineer at IBM Research in Bangalore. I worked on a variety of language and understanding problems, and received 2 Outstanding Technical Achievement awards for my work during the period.



Education

Publications


    2023


  1. Abhirut Gupta, Ananya B. Sai, Richard Sproat, Yuri Vasilevski, James S. Ren, Ambarish Jash, Sukhdeep S. Sodhi and Aravindan Raghuveer. Bi-Phone: Modeling Inter Language Phonetic Influences in Text. ACL 2023.

    2. 2022


  2. Aditya Vavre, Abhirut Gupta, Sunita Sarawagi. Adapting Multilingual Models for Code-Mixed Translation. EMNLP 2022 Findings.

    3. 2021


  3. Sahana Ramnath, Melvin Johnson, Abhirut Gupta, and Aravindan Raghuveer. HintedBT: Augmenting Back-Translation with Quality and Transliteration Hints. EMNLP 2021.
  4. Abhirut Gupta, Aditya Vavre, Sunita Sarawagi. Training Data Augmentation for Code-Mixed Translation. NAACL 2021.

    5. 2020


  5. Kushal Chauhan, Abhirut Gupta. Improving Segmentation for Technical Support Problems. ACL 2020. (Mentor to Kushal's internship at IBM Research, summer 2019).
  6. Abhirut Gupta, Sandipan Sikdar, Prateeti Mohapatra, Niloy Ganguly. Topic Influence Graph Based Analysis of Seminal Papers. CoDS COMAD 2020: Proceedings of the 7th ACM IKDD CoDS and 25th COMAD. Slides

    7. 2018


  7. Prateeti Mohapatra, Yu Deng, Abhirut Gupta,Gargi Dasgupta, Amit Paradkar, Ruchi Mahindru, Daniela Rosu, Shu Tao, Pooja Aggarwal. Domain Knowledge Driven Key Term Extraction for IT Services. 16th International Conference on Service-Oriented Computing, ICSOC 2018
  8. Abhirut Gupta, Abhay Khosla, Gautam Singh, Gargi Dasgupta. Mining Procedures from Technical Support Documents. arXiv preprint. arXiv:1805.09780
  9. Abhirut Gupta, Anupama Ray, Gautam Singh, Gargi Dasgupta, Pooja Aggarwal, and Prateeti Mohapatra. Semantic Parsing for Technical Support Questions. COLING 2018

    10. 2016


  10. Abhirut Gupta, Arjun Akula, Gargi Dasgupta, Pooja Aggarwal, and Prateeti Mohapatra. Desire: Deep Semantic Understanding and Retrieval for Technical Support Services. ICSOC 2016 Workshops

Patents

  1. Systems and methods for generating locale-specific phonetic spelling variations. US20220391588A1
  2. System and Method for Instance Specific Aspect Based Cross Documents Sentiment Aggregation. US20170132309A1
  3. Deep Learning based Unsupervised Event Learning for Economic Indicator Prediction. US20180068330A1