Ankan Mullick
Ankan Mullick
Prime Minister Research Fellow (PMRF), IIT Kharagpur, Computer Science and Engineering Department
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Cited by
Cited by
Public sphere 2.0: Targeted commenting in online news media
A Mullick, S Ghosh, R Dutt, A Ghosh, A Chakraborty
Advances in Information Retrieval: 41st European Conference on IR Research …, 2019
MatScIE: An automated tool for the generation of databases of methods and parameters used in the computational materials science literature
S Guha, A Mullick, J Agrawal, S Ram, S Ghui, SC Lee, S Bhattacharjee, ...
Computational Materials Science 192, 110325, 2021
Understanding book popularity on goodreads
SK Maity, A Kumar, A Mullick, V Choudhary, A Mukherjee
Proceedings of the 2018 ACM International Conference on Supporting Group …, 2018
A generic opinion-fact classifier with application in understanding opinionatedness in various news section
A Mullick, S Maheshwari, P Goyal, N Ganguly
Proceedings of the 26th International Conference on World Wide Web Companion …, 2017
A graphical framework to detect and categorize diverse opinions from online news
A Mullick, P Goyal, N Ganguly
Proceedings of the Workshop on Computational Modeling of People’s Opinions …, 2016
Identifying opinion and fact subcategories from the social web
A Mullick, S Ghosh D, S Maheswari, S Sahoo, SK Maity, P Goyal
Proceedings of the 2018 ACM International Conference on Supporting Group …, 2018
Fine-grained intent classification in the legal domain
A Mullick, A Nandy, MN Kapadnis, S Patnaik, R Raghav
arXiv preprint arXiv:2205.03509, 2022
Harnessing twitter for answering opinion list queries
A Mullick, P Goyal, N Ganguly, M Gupta
IEEE Transactions on Computational Social Systems 5 (4), 1083-1095, 2018
Understanding Psycholinguistic Behavior of predominant drunk texters in Social Media
SK Maity, A Mullick, S Ghosh, A Kumar, S Dhamnani, S Bahety, ...
2018 IEEE Symposium on Computers and Communications (ISCC), 01096-01101, 2018
A framework to generate high-quality datapoints for multiple novel intent detection
A Mullick, S Purkayastha, P Goyal, N Ganguly
arXiv preprint arXiv:2205.02005, 2022
D-FJ: Deep neural network based factuality judgment
A Mullick, S Pal, P Chanda, A Panigrahy, A Bharadwaj, S Singh, T Dam
Technology 50, 173, 2019
Drift in online social media
A Mullick, A Bhandari, A Niranjan, N Sckhar, S Garg, R Bubna, M Roy
2018 IEEE 9th Annual Information Technology, Electronics and Mobile …, 2018
MatSciRE: Leveraging pointer networks to automate entity and relation extraction for material science knowledge-base construction
A Mullick, A Ghosh, GS Chaitanya, S Ghui, T Nayak, SC Lee, ...
Computational Materials Science 233, 112659, 2024
Intent identification and entity extraction for healthcare queries in indic languages
A Mullick, I Mondal, S Ray, R Raghav, GS Chaitanya, P Goyal
arXiv preprint arXiv:2302.09685, 2023
Extracting social lists from Twitter
A Mullick, P Goyal, N Ganguly, M Gupta
Proceedings of the 2017 IEEE/ACM International Conference on Advances in …, 2017
An evaluation framework for legal document summarization
A Mullick, A Nandy, MN Kapadnis, S Patnaik, R Raghav, R Kar
arXiv preprint arXiv:2205.08478, 2022
Exploring multilingual intent dynamics and applications
A Mullick
IJCAI Doctoral Consortium, 2023
Novel intent detection and active learning based classification (student abstract)
A Mullick
Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 16286 …, 2023
Improving self-supervised learning for out-of-distribution task via auxiliary classifier
H Boonlia, T Dam, MM Ferdaus, SG Anavatti, A Mullick
2022 IEEE International Conference on Image Processing (ICIP), 3036-3040, 2022
Using sentence-level classification helps entity extraction from material science literature
A Mullick, S Pal, T Nayak, SC Lee, S Bhattacharjee, P Goyal
Proceedings of the Thirteenth Language Resources and Evaluation Conference …, 2022
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