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ORCIDMarco Antonio Valenzuela-Escárcega
Person information
- affiliation: University of Arizona, Tucson
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Books and Theses
- 2016
[b1]Marco Antonio Valenzuela-Escárcega:
Interpretable Models for Information Extraction. University of Arizona, Tucson, USA, 2016
Journal Articles
- 2018
- [j1]Marco Antonio Valenzuela-Escárcega, Özgün Babur, Gus Hahn-Powell
, Dane Bell, Thomas Hicks, Enrique Noriega-Atala, Xia Wang, Mihai Surdeanu, Emek Demir, Clayton T. Morrison:
Large-scale automated machine reading discovers new cancer-driving mechanisms. Database J. Biol. Databases Curation 2018: bay098 (2018)
Conference and Workshop Papers
- 2024
- [c21]Robert Vacareanu, Enrique Noriega-Atala, Gus Hahn-Powell, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu:
Active Learning Design Choices for NER with Transformers. LREC/COLING 2024: 321-334 - 2022
- [c20]Robert Vacareanu, Marco Antonio Valenzuela-Escárcega, George Caique Gouveia Barbosa, Rebecca Sharp, Gustave Hahn-Powell, Mihai Surdeanu:
From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction. LREC 2022: 6180-6189 - 2020
- [c19]Robert Vacareanu, Marco Antonio Valenzuela-Escárcega, Rebecca Sharp, Mihai Surdeanu:
An Unsupervised Method for Learning Representations of Multi-word Expressions for Semantic Classification. COLING 2020: 3346-3356 - [c18]Marco Antonio Valenzuela-Escárcega, Gus Hahn-Powell, Dane Bell:
Odinson: A Fast Rule-based Information Extraction Framework. LREC 2020: 2183-2191 - [c17]Maria Alexeeva, Rebecca Sharp, Marco Antonio Valenzuela-Escárcega, Jennifer Kadowaki, Adarsh Pyarelal, Clayton T. Morrison:
MathAlign: Linking Formula Identifiers to their Contextual Natural Language Descriptions. LREC 2020: 2204-2212 - [c16]Robert Vacareanu, George Caique Gouveia Barbosa, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu:
Parsing as Tagging. LREC 2020: 5225-5231 - 2019
- [c15]Andrew Zupon, Maria Alexeeva, Marco Antonio Valenzuela-Escárcega, Ajay Nagesh, Mihai Surdeanu:
Lightly-supervised Representation Learning with Global Interpretability. SPNLP@NAACL-HLT 2019: 18-28 - [c14]George Caique Gouveia Barbosa, Zechy Wong, Gus Hahn-Powell, Dane Bell, Rebecca Sharp, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu:
Enabling Search and Collaborative Assembly of Causal Interactions Extracted from Multilingual and Multi-domain Free Text. NAACL-HLT (Demonstrations) 2019: 12-17 - [c13]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:
Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models. NAACL-HLT (Demonstrations) 2019: 42-47 - 2018
- [c12]Angus G. Forbes, Kristine Lee, Gus Hahn-Powell, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu:
Text Annotation Graphs: Annotating Complex Natural Language Phenomena. LREC 2018 - [c11]Fan Luo, Marco Antonio Valenzuela-Escárcega, Gus Hahn-Powell, Mihai Surdeanu:
Scientific Discovery as Link Prediction in Influence and Citation Graphs. TextGraphs@NAACL-HLT 2018: 1-6 - 2017
- [c10]Gus Hahn-Powell, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu:
Swanson linking revisited: Accelerating literature-based discovery across domains using a conceptual influence graph. ACL (System Demonstrations) 2017: 103-108 - [c9]Rebecca Sharp, Mihai Surdeanu, Peter Jansen, Marco Antonio Valenzuela-Escárcega, Peter Clark, Michael Hammond:
Tell Me Why: Using Question Answering as Distant Supervision for Answer Justification. CoNLL 2017: 69-79 - [c8]Enrique Noriega-Atala, Marco Antonio Valenzuela-Escárcega, Clayton T. Morrison, Mihai Surdeanu:
Learning what to read: Focused machine reading. EMNLP 2017: 2905-2910 - 2016
- [c7]Marco Antonio Valenzuela-Escárcega, Gus Hahn-Powell, Dane Bell, Mihai Surdeanu:
SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction. BioNLP@ACL 2016: 56-65 - [c6]Gus Hahn-Powell, Dane Bell, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu:
This before That: Causal Precedence in the Biomedical Domain. BioNLP@ACL 2016: 146-155 - [c5]Dane Bell, Gus Hahn-Powell, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu:
Sieve-based Coreference Resolution in the Biomedical Domain. LREC 2016 - [c4]Marco Antonio Valenzuela-Escárcega, Gus Hahn-Powell, Mihai Surdeanu:
Odin's Runes: A Rule Language for Information Extraction. LREC 2016 - 2015
- [c3]Marco Antonio Valenzuela-Escárcega, Gus Hahn-Powell, Mihai Surdeanu, Thomas Hicks:
A Domain-independent Rule-based Framework for Event Extraction. ACL (System Demonstrations) 2015: 127-132 - [c2]Mihai Surdeanu, Tom Hicks, Marco Antonio Valenzuela-Escárcega:
Two Practical Rhetorical Structure Theory Parsers. HLT-NAACL 2015: 1-5 - 2013
- [c1]Colin R. Dawson, Jeremy B. Wright, Antons Rebguns, Marco Antonio Valenzuela-Escárcega, Daniel Fried, Paul R. Cohen:
A generative probabilistic framework for learning spatial language. ICDL-EPIROB 2013: 1-8
Informal and Other Publications
- 2022
- [i9]Robert Vacareanu, Marco Antonio Valenzuela-Escárcega, George Caique Gouveia Barbosa, Rebecca Sharp, Mihai Surdeanu:
From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction. CoRR abs/2202.00475 (2022) - 2020
- [i8]Adarsh Pyarelal, Marco Antonio Valenzuela-Escárcega, Rebecca Sharp, Paul Douglas Hein, Jon Stephens, Pratik Bhandari, HeuiChan Lim, Saumya Debray, Clayton T. Morrison:
AutoMATES: Automated Model Assembly from Text, Equations, and Software. CoRR abs/2001.07295 (2020) - 2018
- [i7]Marco Antonio Valenzuela-Escárcega, Ajay Nagesh, Mihai Surdeanu:
Lightly-supervised Representation Learning with Global Interpretability. CoRR abs/1805.11545 (2018) - 2017
- [i6]Enrique Noriega-Atala, Marco Antonio Valenzuela-Escárcega, Clayton T. Morrison, Mihai Surdeanu:
Learning what to read: Focused machine reading. CoRR abs/1709.00149 (2017) - [i5]Angus Graeme Forbes, Kristine Lee, Gus Hahn-Powell, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu:
Text Annotation Graphs: Annotating Complex Natural Language Phenomena. CoRR abs/1711.00529 (2017) - 2016
- [i4]Dane Bell, Gus Hahn-Powell, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu:
An investigation of coreference phenomena in the biomedical domain. CoRR abs/1603.03758 (2016) - [i3]Gus Hahn-Powell, Dane Bell, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu:
This before That: Causal Precedence in the Biomedical Domain. CoRR abs/1606.08089 (2016) - [i2]Marco Antonio Valenzuela-Escárcega, Gus Hahn-Powell, Dane Bell, Mihai Surdeanu:
SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction. CoRR abs/1606.09604 (2016) - 2015
- [i1]Marco Antonio Valenzuela-Escárcega, Gus Hahn-Powell, Mihai Surdeanu:
Description of the Odin Event Extraction Framework and Rule Language. CoRR abs/1509.07513 (2015)
Coauthor Index
aka: Gustave Hahn-Powell
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