| Learning To Use Formulas To Solve Simple Arithmetic Problems A Mitra, C Baral Association for Computational Linguistics, 2144–2153, 2016 | 92 | 2016 |
| Addressing a question answering challenge by combining statistical methods with inductive rule learning and reasoning A Mitra, C Baral Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 82 | 2016 |
| Careful selection of knowledge to solve open book question answering P Banerjee, KK Pal, A Mitra, C Baral arXiv preprint arXiv:1907.10738, 2019 | 43 | 2019 |
| Exploring ways to incorporate additional knowledge to improve natural language commonsense question answering A Mitra, P Banerjee, KK Pal, S Mishra, C Baral arXiv preprint arXiv:1909.08855, 2019 | 42 | 2019 |
| Learning to automatically solve logic grid puzzles A Mitra, C Baral Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 24 | 2015 |
| Declarative question answering over knowledge bases containing natural language text with answer set programming A Mitra, P Clark, O Tafjord, C Baral Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3003-3010, 2019 | 23 | 2019 |
| The NL2KR platform for building natural language translation systems N Vo, A Mitra, C Baral Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 18 | 2015 |
| Combining knowledge hunting and neural language models to solve the Winograd schema challenge A Prakash, A Sharma, A Mitra, C Baral Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 15 | 2019 |
| Towards question format independent numerical reasoning: A set of prerequisite tasks S Mishra, A Mitra, N Varshney, B Sachdeva, C Baral arXiv preprint arXiv:2005.08516, 2020 | 11 | 2020 |
| Enhancing natural language inference using new and expanded training data sets and new learning models A Mitra, I Shrivastava, C Baral Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8504-8511, 2020 | 7 | 2020 |
| Incremental and iterative learning of answer set programs from mutually distinct examples A Mitra, C Baral Theory and Practice of Logic Programming 18 (3-4), 623-637, 2018 | 7 | 2018 |
| A generate-validate approach to answering questions about qualitative relationships A Mitra, C Baral, A Bhattacharjee, I Shrivastava arXiv preprint arXiv:1908.03645, 2019 | 5 | 2019 |
| Natural language qa approaches using reasoning with external knowledge C Baral, P Banerjee, KK Pal, A Mitra arXiv preprint arXiv:2003.03446, 2020 | 4 | 2020 |
| Knowledge representation and reasoning in answering science questions: a case study for food web questions A Mitra, C Baral, P Clark Sixteenth International Conference on Principles of Knowledge Representation …, 2018 | 4 | 2018 |
| Improving biomedical information retrieval with neural retrievers M Luo, A Mitra, T Gokhale, C Baral arXiv preprint arXiv:2201.07745, 2022 | 3 | 2022 |
| Understanding roles and entities: Datasets and models for natural language inference A Mitra, I Shrivastava, C Baral arXiv preprint arXiv:1904.09720, 2019 | 3 | 2019 |
| NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks S Mishra, A Mitra, N Varshney, B Sachdeva, P Clark, C Baral, A Kalyan arXiv preprint arXiv:2204.05660, 2022 | 2 | 2022 |
| Can Transformers Reason About Effects of Actions? P Banerjee, C Baral, M Luo, A Mitra, K Pal, TC Son, N Varshney arXiv preprint arXiv:2012.09938, 2020 | 1 | 2020 |
| Deeply embedded knowledge representation & reasoning for natural language question answering: A practitioner’s perspective A Mitra, S Narayana, C Baral Proceedings of the Fourth Workshop on Structured Prediction for NLP, 102-111, 2020 | 1 | 2020 |
| Knowledge Representation, Reasoning and Learning for Non-Extractive Reading Comprehension A Mitra Arizona State University, 2019 | 1 | 2019 |
Chitta BaralProfessor of Computer Science, Arizona State UniversityVerified email at asu.edu
