Semi-supervised recurrent neural network for adverse drug reaction mention extraction S Gupta, S Pawar, N Ramrakhiyani, GK Palshikar, V Varma BMC bioinformatics 19, 1-7, 2018 | 57 | 2018 |
Approaches to temporal expression recognition in Hindi N Ramrakhiyani, P Majumder ACM Transactions on Asian and Low-Resource Language Information Processing …, 2015 | 20 | 2015 |
Co-training for extraction of adverse drug reaction mentions from tweets S Gupta, M Gupta, V Varma, S Pawar, N Ramrakhiyani, GK Palshikar European Conference on Information Retrieval, 556-562, 2018 | 19 | 2018 |
Multi-task learning for extraction of adverse drug reaction mentions from tweets S Gupta, M Gupta, V Varma, S Pawar, N Ramrakhiyani, GK Palshikar European Conference on Information Retrieval, 59-71, 2018 | 14 | 2018 |
HiSPEED: a system for mining performance appraisal data and text GK Palshikar, M Apte, S Pawar, N Ramrakhiyani International Journal of Data Science and Analytics 8, 95-111, 2019 | 13 | 2019 |
Measuring topic coherence through optimal word buckets N Ramrakhiyani, S Pawar, S Hingmire, G Palshikar Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 10 | 2017 |
Role models: Mining role transitions data in IT project management GK Palshikar, S Pawar, N Ramrakhiyani 2016 IEEE International Conference on Data Science and Advanced Analytics …, 2016 | 10 | 2016 |
Extracting message sequence charts from Hindi narrative text S Hingmire, N Ramrakhiyani, AK Singh, S Patil, G Palshikar, ... Proceedings of the First Joint Workshop on Narrative Understanding …, 2020 | 9 | 2020 |
Extraction of message sequence charts from narrative history text G Palshikar, S Pawar, S Patil, S Hingmire, N Ramrakhiyani, H Bedi, ... Proceedings of the First Workshop on Narrative Understanding, 28-36, 2019 | 9 | 2019 |
A simple neural approach to spatial role labelling N Ramrakhiyani, G Palshikar, V Varma Advances in Information Retrieval: 41st European Conference on IR Research …, 2019 | 8 | 2019 |
Aspects from Appraisals! A Label Propagation with Prior Induction Approach N Ramrakhiyani, S Pawar, GK Palshikar, M Apte International Conference on Applications of Natural Language to Information …, 2016 | 7 | 2016 |
Deciphering review comments: Identifying suggestions, appreciations and complaints S Pawar, N Ramrakhiyani, GK Palshikar, S Hingmire Natural Language Processing and Information Systems: 20th International …, 2015 | 7 | 2015 |
Extracting events from industrial incident reports N Ramrakhiyani, S Hingmire, S Patil, A Kumar, G Palshikar Proceedings of the 4th Workshop on Challenges and Applications of Automated …, 2021 | 6 | 2021 |
Extraction of message sequence charts from software use-case descriptions G Palshikar, N Ramrakhiyani, S Patil, S Pawar, S Hingmire, V Varma, ... Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 5 | 2019 |
Topics and label propagation: Best of both worlds for weakly supervised text classification S Pawar, N Ramrakhiyani, S Hingmire, GK Palshikar Computational Linguistics and Intelligent Text Processing: 17th …, 2018 | 5 | 2018 |
Word2vec or JoBimText? A comparison for lexical expansion of Hindi words N Ramrakhiyani, S Pawar, G Palshikar Proceedings of the 7th Annual Meeting of the Forum for Information Retrieval …, 2015 | 5 | 2015 |
Temporal expression recognition in hindi N Ramrakhiyani, P Majumder Mining Intelligence and Knowledge Exploration: First International …, 2013 | 5 | 2013 |
A system for classification of propositions of the indian supreme court judgements N Ramrakhiyani, S Pawar, GK Palshikar Proceedings of the 4th and 5th Annual Meetings of the Forum for Information …, 2013 | 5 | 2013 |
Extraction of complex semantic relations from resumes S Pawar, D Thosar, N Ramrakhiyani, GK Palshikar, A Sinha, R Srivastava ASEA workshop@ IJCAI, 2021 | 4 | 2021 |
Mining supervisor evaluation and peer feedback in performance appraisals GK Palshikar, S Pawar, S Chourasia, N Ramrakhiyani Computational Linguistics and Intelligent Text Processing: 18th …, 2018 | 4 | 2018 |