| Instruction tuning for few-shot aspect-based sentiment analysis S Varia, S Wang, K Halder, R Vacareanu, M Ballesteros, Y Benajiba, ... arXiv preprint arXiv:2210.06629, 2022 | 15 | 2022 |
| Parsing as tagging R Vacareanu, GCG Barbosa, MA Valenzuela-Escárcega, M Surdeanu Proceedings of the Twelfth Language Resources and Evaluation Conference …, 2020 | 15 | 2020 |
| Methods for extracting and assessing information from literature documents M Surdeanu, MAV Escarcega, G Hahn-Powell, D Bell, T Hicks, E Noriega, ... US Patent App. 17/344,774, 2021 | 4 | 2021 |
| From examples to rules: Neural guided rule synthesis for information extraction R Vacareanu, MA Valenzuela-Escárcega, GCG Barbosa, R Sharp, ... arXiv preprint arXiv:2202.00475, 2022 | 3 | 2022 |
| An unsupervised method for learning representations of multi-word expressions for semantic classification R Vacareanu, MA Valenzuela-Escarcega, R Sharp, M Surdeanu Proceedings of the 28th International Conference on computational …, 2020 | 2 | 2020 |
| Towards Realistic Few-Shot Relation Extraction: A New Meta Dataset and Evaluation F Alam, MA Islam, R Vacareanu, M Surdeanu arXiv preprint arXiv:2404.04445, 2024 | 1 | 2024 |
| Best of Both Worlds: A Pliable and Generalizable Neuro-Symbolic Approach for Relation Classification R Vacareanu, F Alam, MA Islam, H Riaz, M Surdeanu arXiv preprint arXiv:2403.03305, 2024 | 1 | 2024 |
| A Weak Supervision Approach for Few-Shot Aspect Based Sentiment R Vacareanu, S Varia, K Halder, S Wang, G Paolini, NA John, ... arXiv preprint arXiv:2305.11979, 2023 | 1 | 2023 |
| PatternRank: Jointly Ranking Patterns and Extractions for Relation Extraction Using Graph-Based Algorithms R Vacareanu, D Bell, M Surdeanu Proceedings of the First Workshop on Pattern-based Approaches to NLP in the …, 2022 | 1 | 2022 |
| Neural-Guided Program Synthesis of Information Extraction Rules Using Self-Supervision E Noriega-Atala, R Vacareanu, G Hahn-Powell, ... Proceedings of the First Workshop on Pattern-based Approaches to NLP in the …, 2022 | 1 | 2022 |
| From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-Context Examples R Vacareanu, VA Negru, V Suciu, M Surdeanu arXiv preprint arXiv:2404.07544, 2024 | | 2024 |
| Synthetic Dataset for Evaluating Complex Compositional Knowledge for Natural Language Inference SA Akoju, R Vacareanu, H Riaz, E Blanco, M Surdeanu arXiv preprint arXiv:2307.05034, 2023 | | 2023 |
| Synthetic Dataset for Evaluating Complex Compositional Knowledge for Natural Language Inference S Anand Akoju, R Vacareanu, H Riaz, E Blanco, M Surdeanu arXiv e-prints, arXiv: 2307.05034, 2023 | | 2023 |
| A Human-machine Interface for Few-shot Rule Synthesis for Information Extraction R Vacareanu, GC Barbosa, E Noriega-Atala, G Hahn-Powell, R Sharp, ... NAACL, 2022 | | 2022 |
