| Word embedding based generalized language model for information retrieval D Ganguly, D Roy, M Mitra, GJF Jones Proceedings of the 38th international ACM SIGIR conference on research and …, 2015 | 220 | 2015 |
| Patent query reduction using pseudo relevance feedback D Ganguly, J Leveling, W Magdy, GJF Jones Proceedings of the 20th ACM international conference on Information and …, 2011 | 53* | 2011 |
| Named entity recognition with word embeddings and wikipedia categories for a low-resource language A Das, D Ganguly, U Garain ACM Transactions on Asian and Low-Resource Language Information Processing …, 2017 | 34 | 2017 |
| The good, the bad and their kins: Identifying questions with negative scores in stackoverflow P Arora, D Ganguly, GJF Jones 2015 IEEE/ACM International Conference on Advances in Social Networks …, 2015 | 32 | 2015 |
| Retrieving and classifying instances of source code plagiarism D Ganguly, GJF Jones, A Ramírez-De-La-Cruz, G Ramírez-De-La-Rosa, ... Information Retrieval Journal 21 (1), 1-23, 2018 | 23 | 2018 |
| Word vector compositionality based relevance feedback using kernel density estimation D Roy, D Ganguly, M Mitra, GJF Jones Proceedings of the 25th ACM international on conference on information and …, 2016 | 23 | 2016 |
| Exploitation of social media for emergency relief and preparedness: Recent research and trends S Ghosh, K Ghosh, D Ganguly, T Chakraborty, GJF Jones, MF Moens, ... Information Systems Frontiers 20 (5), 901-907, 2018 | 22 | 2018 |
| Representing documents and queries as sets of word embedded vectors for information retrieval D Roy, D Ganguly, M Mitra, GJF Jones arXiv preprint arXiv:1606.07869, 2016 | 17 | 2016 |
| Using word embeddings for information retrieval: How collection and term normalization choices affect performance D Roy, D Ganguly, S Bhatia, S Bedathur, M Mitra Proceedings of the 27th ACM international conference on information and …, 2018 | 16 | 2018 |
| A laboratory-based method for the evaluation of personalised search C Sanvitto, D Ganguly, GJF Jones, G Pasi National Institute of Informatics (NII), 2016 | 16 | 2016 |
| TopicVis: A GUI for Topic-based feedback and navigation D Ganguly, M Ganguly, J Leveling, GJF Jones Proceedings of the 36th international ACM SIGIR conference on Research and …, 2013 | 15 | 2013 |
| Overview of the CLEF 2017 personalised information retrieval pilot lab (PIR-CLEF 2017) G Pasi, GJF Jones, S Marrara, C Sanvitto, D Ganguly, P Sen International Conference of the Cross-Language Evaluation Forum for European …, 2017 | 14 | 2017 |
| Retrieval of similar chess positions D Ganguly, J Leveling, GJF Jones Proceedings of the 37th international ACM SIGIR conference on Research …, 2014 | 14 | 2014 |
| Cross-lingual topical relevance models D Ganguly, J Leveling, G Jones Proceedings of COLING 2012, 927-942, 2012 | 14 | 2012 |
| Identification of tasks, datasets, evaluation metrics, and numeric scores for scientific leaderboards construction Y Hou, C Jochim, M Gleize, F Bonin, D Ganguly arXiv preprint arXiv:1906.09317, 2019 | 13 | 2019 |
| United we fall, divided we stand: A study of query segmentation and PRF for patent prior art search D Ganguly, J Leveling, GJF Jones Proceedings of the 4th workshop on Patent information retrieval, 13-18, 2011 | 13 | 2011 |
| LIRME: locally interpretable ranking model explanation M Verma, D Ganguly Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 12 | 2019 |
| ECIR 2017 workshop on exploitation of social media for emergency relief and preparedness (SMERP 2017) S Ghosh, K Ghosh, D Ganguly, T Chakraborty, GJF Jones, MF Moens ACM SIGIR Forum 51 (1), 36-41, 2017 | 12 | 2017 |
| Overview of the personalized and collaborative information retrieval (PIR) track at FIRE-2011 D Ganguly, J Leveling, GJF Jones Multilingual Information Access in South Asian Languages, 227-240, 2013 | 11 | 2013 |
| Dcu@ inex-2012: Exploring sentence retrieval for tweet contextualization D Ganguly, J Leveling, GJF Jones | 11 | 2012 |
Gareth J. F. JonesDublin City UniversityVerified email at computing.dcu.ie
