| Applying deep learning to answer selection: A study and an open task M Feng, B Xiang, MR Glass, L Wang, B Zhou 2015 IEEE workshop on automatic speech recognition and understanding (ASRU …, 2015 | 453 | 2015 |
| Re2G: Retrieve, rerank, generate M Glass, G Rossiello, MFM Chowdhury, AR Naik, P Cai, A Gliozzo arXiv preprint arXiv:2207.06300, 2022 | 99 | 2022 |
| WatsonPaths: scenario-based question answering and inference over unstructured information A Lally, S Bagchi, MA Barborak, DW Buchanan, J Chu-Carroll, ... AI magazine 38 (2), 59-76, 2017 | 98 | 2017 |
| Span selection pre-training for question answering M Glass, A Gliozzo, R Chakravarti, A Ferritto, L Pan, GP Bhargav, D Garg, ... arXiv preprint arXiv:1909.04120, 2019 | 85 | 2019 |
| Learning by reading: A prototype system, performance baseline and lessons learned K Barker, B Agashe, SY Chaw, J Fan, N Friedland, M Glass, J Hobbs, ... AAAI 7, 280-286, 2007 | 69 | 2007 |
| Capturing row and column semantics in transformer based question answering over tables M Glass, M Canim, A Gliozzo, S Chemmengath, V Kumar, R Chakravarti, ... Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 56* | 2021 |
| Scalable hierarchical clustering with tree grafting N Monath, A Kobren, A Krishnamurthy, MR Glass, A McCallum Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 47 | 2019 |
| Word semantic representations using bayesian probabilistic tensor factorization J Zhang, J Salwen, M Glass, A Gliozzo Proceedings of the 2014 conference on empirical methods in natural language …, 2014 | 45 | 2014 |
| Identifying transfer models for machine learning tasks P Watson, B Bhattacharjee, NC Codella, BM Belgodere, P Dube, ... US Patent App. 15/982,622, 2019 | 44 | 2019 |
| AIT-QA: Question answering dataset over complex tables in the airline industry Y Katsis, S Chemmengath, V Kumar, S Bharadwaj, M Canim, M Glass, ... arXiv preprint arXiv:2106.12944, 2021 | 35 | 2021 |
| Cltr: An end-to-end, transformer-based system for cell level table retrieval and table question answering F Pan, M Canim, M Glass, A Gliozzo, P Fox arXiv preprint arXiv:2106.04441, 2021 | 35 | 2021 |
| Robust retrieval augmented generation for zero-shot slot filling M Glass, G Rossiello, MFM Chowdhury, A Gliozzo arXiv preprint arXiv:2108.13934, 2021 | 33 | 2021 |
| A dataset for web-scale knowledge base population M Glass, A Gliozzo European Semantic Web Conference, 256-271, 2018 | 28 | 2018 |
| Applying a generic sequence-to-sequence model for simple and effective keyphrase generation MFM Chowdhury, G Rossiello, M Glass, N Mihindukulasooriya, A Gliozzo arXiv preprint arXiv:2201.05302, 2022 | 21 | 2022 |
| Learning parameters in a feed forward probabilistic graphical model MR Glass, JW Murdock IV US Patent 10,445,654, 2019 | 21 | 2019 |
| Learning relational representations by analogy using hierarchical siamese networks G Rossiello, A Gliozzo, R Farrell, NR Fauceglia, M Glass Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 21 | 2019 |
| Evaluating passages in a question answering computer system MA Barborak, JJ Fan, MR Glass, AA Kalyanpur, AP Lally, JW Murdock IV, ... US Patent 9,946,764, 2018 | 19 | 2018 |
| End-to-end table question answering via retrieval-augmented generation F Pan, M Canim, M Glass, A Gliozzo, J Hendler arXiv preprint arXiv:2203.16714, 2022 | 17 | 2022 |
| Inducing implicit relations from text using distantly supervised deep nets M Glass, A Gliozzo, O Hassanzadeh, N Mihindukulasooriya, G Rossiello The Semantic Web–ISWC 2018: 17th International Semantic Web Conference …, 2018 | 16 | 2018 |
| JoBimText visualizer: a graph-based approach to contextualizing distributional similarity C Biemann, B Coppola, M Glass, A Gliozzo, M Hatem, M Riedl Proceedings of TextGraphs-8 Graph-based Methods for Natural Language …, 2013 | 16 | 2013 |
Alfio GliozzoPrincipal researcher, technical program manager and chief science catalyst, IBM Research AIVerified email at us.ibm.com
