Rebecca Sharp
Rebecca Sharp
Principal Data Scientist, Lex Machina
Verified email at
Cited by
Cited by
Creating causal embeddings for question answering with minimal supervision
R Sharp, M Surdeanu, P Jansen, P Clark, M Hammond
EMNLP, 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
The phonetic specificity of contrastive hyperarticulation in natural speech
A Wedel, N Nelson, R Sharp
Journal of Memory and Language 100, 61-88, 2018
Framing QA as Building and Ranking Intersentence Answer Justifications
P Jansen, R Sharp, M Surdeanu, P Clark
Computational Linguistics, 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
On the Importance of Delexicalization for Fact Verification
S Suntwal, M Paul, R Sharp, M Surdeanu
arXiv preprint arXiv:1909.09868, 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
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
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
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
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
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
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
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
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
Productivity of the broken plural in Maltese
S Drake, R Sharp
6th International Conference of Maltese Linguistics 8, 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
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
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
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
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