Rebecca Sharp

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	Wszystkie	Od 2020
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Mihai SurdeanuProfessor, Computer Science, University of ArizonaZweryfikowany adres z email.arizona.edu
Marco A. Valenzuela-EscárcegaUniversity of ArizonaZweryfikowany adres z email.arizona.edu
Peter ClarkAllen Institute for Artificial Intelligence (AI2)Zweryfikowany adres z allenai.org
Peter A JansenAssociate Professor, University of ArizonaZweryfikowany adres z email.arizona.edu
Clayton T. MorrisonAssociate Professor, University of ArizonaZweryfikowany adres z arizona.edu
Steven BethardAssociate Professor, University of ArizonaZweryfikowany adres z arizona.edu
Paul MithünResearch Scientist, University of ArizonaZweryfikowany adres z arizona.edu
Vikas YadavUniversity of ArizonaZweryfikowany adres z arizona.edu
Adarsh PyarelalAssistant Professor, University of ArizonaZweryfikowany adres z arizona.edu
Mike Hammondprofessor of linguistics, University of ArizonaZweryfikowany adres z u.arizona.edu
Ajay NageshSr. Applied Scientist, AmazonZweryfikowany adres z amazon.com
Sandeep SuntwalAssistant Professor, University of Colorado, Colorado SpringsZweryfikowany adres z uccs.edu
Fan LuoComputer Science, University of ArizonaZweryfikowany adres z email.arizona.edu
George C. G. BarbosaResearcher, FiocruzZweryfikowany adres z fiocruz.br
Andrew B WedelAssoc. Professor of Linguistics, University of ArizonaZweryfikowany adres z u.arizona.edu
Benjamin M. Gyori, Ph.D.Associate Professor, Northeastern UniversityZweryfikowany adres z northeastern.edu
Zheng TangSamsung Research AmericaZweryfikowany adres z samsung.com
Egoitz LaparraUniversity of ArizonaZweryfikowany adres z arizona.edu
Dane BellLum AIZweryfikowany adres z email.arizona.edu
Enrique Noriega-AtalaThe University of ArizonaZweryfikowany adres z arizona.edu

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Rebecca Sharp

Principal Data Scientist, Lex Machina

Zweryfikowany adres z lexmachina.com

NLP Question Answering Discourse Information Extraction Machine Learning


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
The phonetic specificity of contrastive hyperarticulation in natural speech A Wedel, N Nelson, R Sharp Journal of Memory and Language 100, 61-88, 2018	77	2018
Creating causal embeddings for question answering with minimal supervision R Sharp, M Surdeanu, P Jansen, P Clark, M Hammond EMNLP, 2016	74	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	72	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	30	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	23	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	22	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	18	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	6*	2021
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	5	2022
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	4	2022
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
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

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