Puneet Agrawal
Puneet Agrawal
Principal Engineering Manager, Microsoft AI
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Cited by
Cited by
Understanding emotions in text using deep learning and big data
A Chatterjee, U Gupta, MK Chinnakotla, R Srikanth, M Galley, P Agrawal
Computers in Human Behavior 93, 309-317, 2019
SemEval-2019 task 3: EmoContext contextual emotion detection in text
A Chatterjee, KN Narahari, M Joshi, P Agrawal
Proceedings of the 13th international workshop on semantic evaluation, 39-48, 2019
A sentiment-and-semantics-based approach for emotion detection in textual conversations
U Gupta, A Chatterjee, R Srikanth, P Agrawal
arXiv preprint arXiv:1707.06996, 2017
Compression of deep learning models for text: A survey
M Gupta, P Agrawal
ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (4), 1-55, 2022
Emulating human conversations using convolutional neural network-based IR
A Prakash, C Brockett, P Agrawal
arXiv preprint arXiv:1606.07056, 2016
Application of breadcrumbs in ranking and search experiences
V Krishnan, P Agrawal, A Khator, SH Nagaralu
US Patent 8,583,622, 2013
Presenting search results based upon subject-versions
SH Nagaralu, P Agrawal, AK Singla, V Krishnan
US Patent 9,208,236, 2015
Optimized transformer models for FAQ answering
S Damani, KN Narahari, A Chatterjee, M Gupta, P Agrawal
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 235-248, 2020
Map-based selection of query component
SH Nagaralu, P Agrawal, V Krishnan
US Patent 8,880,496, 2014
FAQaugmenter: suggesting questions for enterprise FAQ pages
A Chatterjee, M Gupta, P Agrawal
Proceedings of the 13th international conference on web search and data …, 2020
Insights from building an open-ended conversational agent
K Gupta, M Joshi, A Chatterjee, S Damani, KN Narahari, P Agrawal
Proceedings of the First Workshop on NLP for Conversational AI, 106-112, 2019
Lessons from building a large-scale commercial IR-based chatbot for an emerging market
MK Chinnakotla, P Agrawal
The 41st International ACM SIGIR Conference on Research & Development in …, 2018
Ruuh: A deep learning based conversational social agent
S Damani, N Raviprakash, U Gupta, A Chatterjee, M Joshi, K Gupta, ...
arXiv preprint arXiv:1810.12097, 2018
Using AI for Economic Upliftment of Handicraft Industry
N Raviprakash, S Damani, A Chatterjee, M Joshi, P Agrawal
arXiv preprint arXiv:1907.02014, 2019
Deep Learning Methods for Query Auto Completion
M Gupta, M Joshi, P Agrawal
European Conference on Information Retrieval, 341-348, 2023
Emotionally connected responses from a digital assistant
P Agrawal
US Patent 10,437,615, 2019
Clustering suggestions for partial query auto-completion
M Gupta, P Agrawal
US Patent App. 17/833,180, 2023
trie-nlg: trie context augmentation to improve personalized query auto-completion for short and unseen prefixes
KK Maurya, MS Desarkar, M Gupta, P Agrawal
Data Mining and Knowledge Discovery 37 (6), 2306-2329, 2023
Query-Document Topic Mismatch Detection
S Chelaramani, A Chatterjee, S Damani, KN Narahari, M Joshi, M Gupta, ...
International Conference on Database Systems for Advanced Applications, 413-424, 2022
A Case Study on using Crowdsourcing for Ambiguous Tasks
PA Ankush Chatterjee, Umang Gupta
IJCCI 2018 : 10th International Joint Conference on Computational Intelligence, 2018
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