| Collective annotation of wikipedia entities in web text S Kulkarni, A Singh, G Ramakrishnan, S Chakrabarti Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 545 | 2009 |
| Is question answering an acquired skill? G Ramakrishnan, S Chakrabarti, D Paranjpe, P Bhattacharya Proceedings of the 13th international conference on World Wide Web, 111-120, 2004 | 107 | 2004 |
| Question answering via Bayesian inference on lexical relations G Ramakrishnan, A Jadhav, A Joshi, S Chakrabarti, P Bhattacharyya Proceedings of the ACL 2003 workshop on Multilingual summarization and …, 2003 | 64 | 2003 |
| Annotating token sequences within documents SV Balakrishnan, G Ramakrishnan, S Joshi US Patent App. 11/532,977, 2008 | 52 | 2008 |
| Numerical relation extraction with minimal supervision A Madaan, A Mittal, G Ramakrishnan, S Sarawagi Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 44 | 2016 |
| Soft word sense disambiguation G Ramakrishnan, BP Prithviraj, A Deepa, P Bhattacharyya, S Chakrabarti Proceedings of GWC 4, 2004 | 43 | 2004 |
| Generic Text Summarization Using WordNet. K Bellare, AD Sarma, AD Sarma, N Loiwal, V Mehta, G Ramakrishnan, ... LREC, 2004 | 40 | 2004 |
| A gloss-centered algorithm for disambiguation G Ramakrishnan, B Prithviraj, P Bhattacharyya Proceedings of SENSEVAL-3, the Third International Workshop on the …, 2004 | 37 | 2004 |
| Using ilp to construct features for information extraction from semi-structured text G Ramakrishnan, S Joshi, S Balakrishnan, A Srinivasan International Conference on Inductive Logic Programming, 211-224, 2007 | 36 | 2007 |
| Automating reading comprehension by generating question and answer pairs V Kumar, K Boorla, Y Meena, G Ramakrishnan, YF Li Pacific-Asia Conference on Knowledge Discovery and Data Mining, 335-348, 2018 | 29 | 2018 |
| A framework for automatic question generation from text using deep reinforcement learning V Kumar, G Ramakrishnan, YF Li arXiv preprint arXiv:1808.04961, 2018 | 28 | 2018 |
| Learning to rank for quantity consensus queries S Banerjee, S Chakrabarti, G Ramakrishnan Proceedings of the 32nd international ACM SIGIR Conference on Research and …, 2009 | 26 | 2009 |
| Word sense disambiguation using inductive logic programming L Specia, A Srinivasan, G Ramakrishnan, MGV Nunes International Conference on Inductive Logic Programming, 409-423, 2006 | 23 | 2006 |
| An investigation into feature construction to assist word sense disambiguation L Specia, A Srinivasan, S Joshi, G Ramakrishnan, MGV Nunes Machine Learning 76 (1), 109-136, 2009 | 22 | 2009 |
| Method and system for searching unstructured textual data for quantitative answers to queries S Banerjee, S Chakrabarti, G Ramakrishnan US Patent 8,447,766, 2013 | 21 | 2013 |
| Feature construction using theory-guided sampling and randomised search S Joshi, G Ramakrishnan, A Srinivasan International Conference on Inductive Logic Programming, 140-157, 2008 | 21 | 2008 |
| Summarization of multi-document topic hierarchies using submodular mixtures R Bairi, R Iyer, G Ramakrishnan, J Bilmes Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 20 | 2015 |
| Compressed data structures for annotated web search S Chakrabarti, S Kasturi, B Balakrishnan, G Ramakrishnan, R Saraf Proceedings of the 21st international conference on World Wide Web, 121-130, 2012 | 20 | 2012 |
| Incorporating linguistic expertise using ilp for named entity recognition in data hungry indian languages A Patel, G Ramakrishnan, P Bhattacharya International Conference on Inductive Logic Programming, 178-185, 2009 | 20 | 2009 |
| A model for handling approximate, noisy or incomplete labeling in text classification G Ramakrishnan, KP Chitrapura, R Krishnapuram, P Bhattacharyya Proceedings of the 22nd international conference on Machine learning, 681-688, 2005 | 20 | 2005 |
