Marco A. Valenzuela-Escárcega
Marco A. Valenzuela-Escárcega
Verified email at email.arizona.edu
Title
Cited by
Cited by
Year
Identifying meaningful citations
M Valenzuela, V Ha, O Etzioni
Workshops at the twenty-ninth AAAI conference on artificial intelligence, 2015
1032015
Two practical rhetorical structure theory parsers
M Surdeanu, T Hicks, MA Valenzuela-Escárcega
Proceedings of the 2015 conference of the North American chapter of the …, 2015
722015
A Domain-independent Rule-based Framework for Event Extraction
MA Valenzuela-Escárcega, G Hahn-Powell, T Hicks, M Surdeanu
ACL-IJCNLP 2015, 127, 2015
622015
Large-scale automated machine reading discovers new cancer-driving mechanisms
MA Valenzuela-Escárcega, Ö Babur, G Hahn-Powell, D Bell, T Hicks, ...
Database 2018, 2018
302018
Odin’s runes: A rule language for information extraction
MA Valenzuela-Escárcega, G Hahn-Powell, M Surdeanu
Proceedings of the Tenth International Conference on Language Resources and …, 2016
282016
A generative probabilistic framework for learning spatial language
CR Dawson, J Wright, A Rebguns, M Valenzuela Escárcega, D Fried, ...
2013 IEEE Third Joint International Conference on Development and Learning …, 2013
152013
Description of the odin event extraction framework and rule language
MA Valenzuela-Escarcega, G Hahn-Powell, M Surdeanu
arXiv preprint arXiv:1509.07513, 2015
132015
Sieve-based Coreference Resolution in the Biomedical Domain
D Bell, G Hahn-Powell, MA Valenzuela-Escárcega, M Surdeanu
Proceedings of the 10th edition of the Language Resources and Evaluation …, 2016
11*2016
This before That: Causal Precedence in the Biomedical Domain
G Hahn-Powell, D Bell, MA Valenzuela-Escárcega, M Surdeanu
Proceedings of the 15th Workshop on Biomedical Natural Language Processing, 2016
92016
Text annotation graphs: Annotating complex natural language phenomena
AG Forbes, K Lee, G Hahn-Powell, MA Valenzuela-Escárcega, ...
arXiv preprint arXiv:1711.00529, 2017
72017
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
62019
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
62017
Swanson linking revisited: Accelerating literature-based discovery across domains using a conceptual influence graph
G Hahn-Powell, MA Valenzuela-Escárcega, M Surdeanu
Proceedings of ACL 2017, System Demonstrations, 103-108, 2017
62017
SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction
MA Valenzuela-Escárcega, G Hahn-Powell, D Bell, M Surdeanu
Proceedings of the 15th Workshop on Biomedical Natural Language Processing …, 2016
62016
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. 15/920,170, 2018
42018
Odinson: A fast rule-based information extraction framework
MA Valenzuela-Escárcega, G Hahn-Powell, D Bell
Proceedings of The 12th Language Resources and Evaluation Conference, 2183-2191, 2020
32020
Lightly-supervised representation learning with global interpretability
MA Valenzuela-Escárcega, A Nagesh, M Surdeanu
arXiv preprint arXiv:1805.11545, 2018
32018
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
22020
Scientific Discovery as Link Prediction in Influence and Citation Graphs
F Luo, MA Valenzuela-Escárcega, G Hahn-Powell, M Surdeanu
Proceedings of the Twelfth Workshop on Graph-Based Methods for Natural …, 2018
22018
Lightly-supervised Representation Learning with Global Interpretability
A Zupon, M Alexeeva, M Valenzuela-Escárcega, A Nagesh, M Surdeanu
Proceedings of the Third Workshop on Structured Prediction for NLP, 18-28, 2019
12019
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