Joint learning of representations for web-tables, entities and types using graph convolutional network A Pramanick, I Bhattacharya Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 15 | 2021 |
Ju cse nlp@ semeval 2017 task 7: Employing rules to detect and interpret english puns A Pramanick, D Das Proceedings of the 11th international workshop on semantic evaluation …, 2017 | 14 | 2017 |
A Diachronic Analysis of Paradigm Shifts in NLP Research: When, How, and Why? A Pramanick, Y Hou, SM Mohammad, I Gurevych Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 5* | 2023 |
The challenges of temporal alignment on Twitter during crises A Pramanick, T Beck, K Stowe, I Gurevych Findings of the Association for Computational Linguistics: EMNLP 2022, 2658–2672, 2022 | 3 | 2022 |
Discovering knowledge graph schema from short natural language text via dialog S Ghosh, A Kundu, A Pramanick, I Bhattacharya Proceedings of the 21th Annual Meeting of the Special Interest Group on …, 2020 | 2 | 2020 |
The Nature of NLP: Analyzing Contributions in NLP Papers A Pramanick, Y Hou, SM Mohammad, I Gurevych arXiv preprint arXiv:2409.19505, 2024 | 1 | 2024 |
Transforming Scholarly Landscapes: Influence of Large Language Models on Academic Fields beyond Computer Science A Pramanick, Y Hou, SM Mohammad, I Gurevych arXiv preprint arXiv:2409.19508, 2024 | 1 | 2024 |
Method and system for providing assistance to interviewers A Dasgupta, I Bhattacharya, GK Palshikar, P Saini, SS Patil, S Datta, ... US Patent App. 17/822,722, 2023 | 1 | 2023 |
SciSumm 2017: Employing Word Vectors for Identifying, Classifying and Summarizing Scientific Documents. A Pramanick, S Mandi, M Dey, D Das BIRNDL@ SIGIR (2), 94-98, 2017 | 1 | 2017 |