Creating causal embeddings for question answering with minimal supervision R Sharp, M Surdeanu, P Jansen, P Clark, M Hammond EMNLP, 2016 | 72 | 2016 |
Deep Affix Features Improve Neural Named Entity Recognizers V Yadav, R Sharp, S Bethard Proceedings of the Seventh Joint Conference on Lexical and Computational …, 2018 | 68 | 2018 |
The phonetic specificity of contrastive hyperarticulation in natural speech A Wedel, N Nelson, R Sharp Journal of Memory and Language 100, 61-88, 2018 | 63 | 2018 |
Framing QA as Building and Ranking Intersentence Answer Justifications P Jansen, R Sharp, M Surdeanu, P Clark Computational Linguistics, 2017 | 53 | 2017 |
Eidos, INDRA, & Delphi: From free text to executable causal models R Sharp, A Pyarelal, B Gyori, K Alcock, E Laparra, ... Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 28 | 2019 |
On the Importance of Delexicalization for Fact Verification S Suntwal, M Paul, R Sharp, M Surdeanu arXiv preprint arXiv:1909.09868, 2019 | 25 | 2019 |
MathAlign: Linking Formula Identifiers to their Contextual Natural Language Descriptions M Alexeeva, R Sharp, MA Valenzuela-Escárcega, J Kadowaki, A Pyarelal, ... Proceedings of The 12th Language Resources and Evaluation Conference, 2204-2212, 2020 | 21 | 2020 |
Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non-factoid Question Answering. R Sharp, P Jansen, M Surdeanu, P Clark HLT-NAACL, 231-237, 2015 | 20 | 2015 |
Sanity Check: A Strong Alignment and Information Retrieval Baseline for Question Answering V Yadav, R Sharp, M Surdeanu The 41st International ACM SIGIR Conference on Research & Development in …, 2018 | 16 | 2018 |
Tell Me Why: Using Question Answering as Distant Supervision for Answer Justification R Sharp, M Surdeanu, P Jansen, MA Valenzuela-Escárcega, P Clark, ... Proceedings of the 21st Conference on Computational Natural Language …, 2017 | 15 | 2017 |
Towards the Necessity for Debiasing Natural Language Inference Datasets MP Panenghat, S Suntwal, F Rafique, R Sharp, M Surdeanu Proceedings of The 12th Language Resources and Evaluation Conference, 6883-6888, 2020 | 10 | 2020 |
Semi-Supervised Teacher-Student Architecture for Relation Extraction F Luo, A Nagesh, R Sharp, M Surdeanu Proceedings of the Third Workshop on Structured Prediction for NLP, 29-37, 2019 | 10 | 2019 |
Grounding Gradable Adjectives through Crowdsourcing R Sharp, M Paul, A Nagesh, D Bell, M Surdeanu Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 7 | 2018 |
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 |
AutoMATES: Automated Model Assembly from Text, Equations, and Software A Pyarelal, MA Valenzuela-Escárcega, R Sharp, PD Hein, J Stephens, ... arXiv preprint arXiv:2001.07295, 2020 | 4 | 2020 |
Productivity of the broken plural in Maltese S Drake, R Sharp 6th International Conference of Maltese Linguistics 8, 2017 | 4 | 2017 |
Rule Based Event Extraction for Artificial Social Intelligence R Nitschke, Y Wang, C Chen, A Pyarelal, R Sharp Proceedings of the First Workshop on Pattern-based Approaches to NLP in the …, 2022 | 3 | 2022 |
From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction R Vacareanu, MA Valenzuela-Escarcega, GCG Barbosa, R Sharp, ... arXiv preprint arXiv:2202.00475, 2022 | 3 | 2022 |
Me, myself, and ire: Effects of automatic transcription quality on emotion, sarcasm, and personality detection J Culnan, S Park, M Krishnaswamy, R Sharp Proceedings of the Eleventh Workshop on Computational Approaches to …, 2021 | 2 | 2021 |
An Unsupervised Method for Learning Representations of Multi-word Expressions for Semantic Classification R Vacareanu, MA Valenzuela-Escárcega, R Sharp, M Surdeanu Proceedings of the 28th International Conference on Computational …, 2020 | 2 | 2020 |