| Improving natural language inference using external knowledge in the science questions domain X Wang, P Kapanipathi, R Musa, M Yu, K Talamadupula, I Abdelaziz, ... Proceedings of the AAAI conference on artificial intelligence 33 (01), 7208-7215, 2019 | 179 | 2019 |
| Supertagging with lstms A Vaswani, Y Bisk, K Sagae, R Musa Proceedings of the 2016 Conference of the North American Chapter of the …, 2016 | 95 | 2016 |
| A systematic classification of knowledge, reasoning, and context within the ARC dataset M Boratko, H Padigela, D Mikkilineni, P Yuvraj, R Das, A McCallum, ... arXiv preprint arXiv:1806.00358, 2018 | 65 | 2018 |
| Responding to an indirect utterance by a conversational system M Canim, RG Farrell, AB Fokoue-Nkoutche, JA Gunnels, RA Musa, ... US Patent 10,534,862, 2020 | 29 | 2020 |
| Answering science exam questions using query rewriting with background knowledge R Musa, X Wang, A Fokoue, N Mattei, M Chang, P Kapanipathi, B Makni, ... arXiv preprint arXiv:1809.05726, 2018 | 28 | 2018 |
| Pore pressure in a wind‐swept rippled bed below the suspension threshold RA Musa, S Takarrouht, MY Louge, J Xu, ME Berberich Journal of Geophysical Research: Earth Surface 119 (12), 2574-2590, 2014 | 10 | 2014 |
| Automatic transformation of complex tables in documents into computer understandable structured format and providing schema-less query support data extraction M Canim, C Cornelio, A Iyengar, RA Musa, MR Muro US Patent 11,194,797, 2021 | 8 | 2021 |
| Schemaless queries over document tables with dependencies M Canim, C Cornelio, A Iyengar, R Musa, MR Muro arXiv preprint arXiv:1911.09356, 2019 | 8 | 2019 |
| An interface for annotating science questions M Boratko, H Padigela, D Mikkilineni, P Yuvraj, R Das, A McCallum, ... Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 7 | 2018 |
| Encoding and decoding tree data structures as vector data structures A Fokoue-Nkoutche, M Crouse, M Witbrock, RA Musa, M Chang US Patent 11,500,841, 2022 | 3 | 2022 |
| Automatic transformation of complex tables in documents into computer understandable structured format and managing dependencies M Canim, C Cornelio, A Iyengar, RA Musa, MR Muro US Patent 11,308,083, 2022 | 3 | 2022 |
| Automatic transformation of complex tables in documents into computer understandable structured format with mapped dependencies and providing schema-less query support for … M Canim, C Cornelio, A Iyengar, RA Musa, MR Muro US Patent 11,194,798, 2021 | 3 | 2021 |
| Scalable Reasoning Infrastructure for Large Scale Knowledge Bases. HP Karanam, S Neelam, U Sharma, S Bhatia, S Bedathur, ... ISWC (P&D/Industry/BlueSky), 2018 | 3 | 2018 |
| A knowledge and reasoning toolkit for cognitive applications M Canim, C Cornelio, R Farrell, A Fokoue, K Gao, J Gunnels, A Iyengar, ... Proceedings of the fifth ACM/IEEE Workshop on Hot Topics in Web Systems and …, 2017 | 2 | 2017 |
| Establishing a logical connection between an indirect utterance and a transaction M Canim, RG Farrell, AB Fokoue-Nkoutche, JA Gunnels, RA Musa, ... US Patent 11,954,613, 2024 | | 2024 |
| Responding to an indirect utterance by a conversational system M Canim, RG Farrell, AB Fokoue-Nkoutche, JA Gunnels, RA Musa, ... US Patent 10,832,006, 2020 | | 2020 |
| High-Fidelity Vector Space Models of Structured Data M Crouse, A Fokoue, M Chang, P Kapanipathi, R Musa, C Nakos, L Wu, ... arXiv preprint arXiv:1901.02565, 2019 | | 2019 |
| Improving a supervised CCG parser RA Musa University of Illinois at Urbana-Champaign, 2016 | | 2016 |
