Rebecca Sharp

According to our database, Rebecca Sharp authored at least 21 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction.

Robert Vacareanu, Marco Antonio Valenzuela-Escárcega, George Caique Gouveia Barbosa, Rebecca Sharp, Mihai Surdeanu

CoRR, 2022

From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction.

Robert Vacareanu, Marco Antonio Valenzuela-Escárcega, George Caique Gouveia Barbosa, Rebecca Sharp, Gustave Hahn-Powell, Mihai Surdeanu

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

2021

Me, myself, and ire: Effects of automatic transcription quality on emotion, sarcasm, and personality detection.

John Culnan, Seongjin Park, Meghavarshini Krishnaswamy, Rebecca Sharp

Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, 2021

2020

AutoMATES: Automated Model Assembly from Text, Equations, and Software.

Adarsh Pyarelal, Marco Antonio Valenzuela-Escárcega, Rebecca Sharp, Paul Douglas Hein, Jon Stephens, Pratik Bhandari, HeuiChan Lim, Saumya Debray, Clayton T. Morrison

CoRR, 2020

Towards the Necessity for Debiasing Natural Language Inference Datasets.

Mithun Paul Panenghat, Sandeep Suntwal, Faiz Rafique, Rebecca Sharp, Mihai Surdeanu

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

MathAlign: Linking Formula Identifiers to their Contextual Natural Language Descriptions.

Maria Alexeeva, Rebecca Sharp, Marco Antonio Valenzuela-Escárcega, Jennifer Kadowaki, Adarsh Pyarelal, Clayton T. Morrison

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

An Unsupervised Method for Learning Representations of Multi-word Expressions for Semantic Classification.

Robert Vacareanu, Marco Antonio Valenzuela-Escárcega, Rebecca Sharp, Mihai Surdeanu

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models.

Rebecca Sharp, Adarsh Pyarelal, Benjamin M. Gyori, Keith Alcock, Egoitz Laparra, Marco Antonio Valenzuela-Escárcega, Ajay Nagesh, Vikas Yadav, John A. Bachman, Zheng Tang, Heather C. Lent, Fan Luo, Mithun Paul, Steven Bethard, Kobus Barnard, Clayton T. Morrison, Mihai Surdeanu

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Enabling Search and Collaborative Assembly of Causal Interactions Extracted from Multilingual and Multi-domain Free Text.

George Caique Gouveia Barbosa, Zechy Wong, Gus Hahn-Powell, Dane Bell, Rebecca Sharp, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

On the Importance of Delexicalization for Fact Verification.

Sandeep Suntwal, Mithun Paul, Rebecca Sharp, Mihai Surdeanu

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Semi-Supervised Teacher-Student Architecture for Relation Extraction.

Fan Luo, Ajay Nagesh, Rebecca Sharp, Mihai Surdeanu

Proceedings of the Third Workshop on Structured Prediction for NLP@NAACL-HLT 2019, 2019

2018

Deep Affix Features Improve Neural Named Entity Recognizers.

Vikas Yadav, Rebecca Sharp, Steven Bethard

Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 2018

Sanity Check: A Strong Alignment and Information Retrieval Baseline for Question Answering.

Vikas Yadav, Rebecca Sharp, Mihai Surdeanu

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Grounding Gradable Adjectives through Crowdsourcing.

Rebecca Sharp, Mithun Paul, Ajay Nagesh, Dane Bell, Mihai Surdeanu

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

A mostly unlexicalized model for recognizing textual entailment.

Mithun Paul, Rebecca Sharp, Mihai Surdeanu

Proceedings of the First Workshop on Fact Extraction and VERification, 2018

2017

Framing QA as Building and Ranking Intersentence Answer Justifications.

Peter Jansen, Rebecca Sharp, Mihai Surdeanu, Peter Clark

Comput. Linguistics, 2017

Tell Me Why: Using Question Answering as Distant Supervision for Answer Justification.

Rebecca Sharp, Mihai Surdeanu, Peter Jansen, Marco Antonio Valenzuela-Escárcega, Peter Clark, Michael Hammond

Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017

2016

Creating Causal Embeddings for Question Answering with Minimal Supervision.

Rebecca Sharp, Mihai Surdeanu, Peter Jansen, Peter Clark, Michael Hammond

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015

Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non-factoid Question Answering.

Rebecca Sharp, Peter Jansen, Mihai Surdeanu, Peter Clark

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

2014

Towards designing assistive software applications for discrete trial training.

Valerie Picardo, Samuel Metson, Rashina Hoda, Robert Amor, Angela Arnold-Saritepe, Rebecca Sharp, Denys Brand

Proceedings of the 36th International Conference on Software Engineering, 2014

Designing an Educational Tabletop Software for Children with Autism.

Valerie Picardo, Samuel Metson, Rashina Hoda, Robert Amor, Angela Arnold-Saritepe, Rebecca Sharp, Denys Brand

Proceedings of the Fifteenth Australasian User Interface Conference, 2014