Rebecca Sharp

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Mihai SurdeanuAssociate Professor, Computer Science, University of ArizonaDirección de correo verificada de email.arizona.edu
Marco A. Valenzuela-EscárcegaUniversity of ArizonaDirección de correo verificada de email.arizona.edu
Peter ClarkAllen Institute for Artificial Intelligence (AI2)Dirección de correo verificada de allenai.org
Peter A JansenAssociate Professor, University of ArizonaDirección de correo verificada de email.arizona.edu
Clayton T. MorrisonAssociate Professor, University of ArizonaDirección de correo verificada de arizona.edu
Steven BethardAssociate Professor, University of ArizonaDirección de correo verificada de arizona.edu
Mithün PaulResearch Scientist, University of ArizonaDirección de correo verificada de arizona.edu
Vikas YadavUniversity of ArizonaDirección de correo verificada de arizona.edu
Adarsh PyarelalAssistant Professor, University of ArizonaDirección de correo verificada de arizona.edu
Mike Hammondprofessor of linguistics, University of ArizonaDirección de correo verificada de u.arizona.edu
Ajay NageshSr. Applied Scientist, Amazon Alexa AIDirección de correo verificada de amazon.com
Sandeep SuntwalAssistant Professor, University of Colorado, Colorado SpringsDirección de correo verificada de uccs.edu
Fan LuoComputer Science, University of ArizonaDirección de correo verificada de email.arizona.edu
Benjamin M. Gyori, Ph.D.Associate Professor, Northeastern UniversityDirección de correo verificada de northeastern.edu
Zheng TangSamsung Research AmericaDirección de correo verificada de samsung.com
Egoitz LaparraUniversity of ArizonaDirección de correo verificada de arizona.edu
Andrew B WedelAssoc. Professor of Linguistics, University of ArizonaDirección de correo verificada de u.arizona.edu
George C. G. BarbosaData Scientist, FiocruzDirección de correo verificada de fiocruz.br
Dane BellLum AIDirección de correo verificada de email.arizona.edu
Enrique Noriega-AtalaThe University of ArizonaDirección de correo verificada de arizona.edu

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Rebecca Sharp

Principal Data Scientist, Lex Machina

Dirección de correo verificada de lexmachina.com

NLP Question Answering Discourse Information Extraction Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	61	2018
Framing QA as Building and Ranking Intersentence Answer Justifications P Jansen, R Sharp, M Surdeanu, P Clark Computational Linguistics, 2017	55	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	27	2019
On the Importance of Delexicalization for Fact Verification S Suntwal, M Paul, R Sharp, M Surdeanu arXiv preprint arXiv:1909.09868, 2019	26	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	20	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	16	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
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
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	2	2022
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
A mostly unlexicalized model for recognizing textual entailment M Paul, R Sharp, M Surdeanu Proceedings of the First Workshop on Fact Extraction and VERification (FEVER …, 2018	2	2018

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