Marco Antonio Valenzuela-Escárcega

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 27

Top Venues

CoRR

LREC

BioNLP@ACL

ACL (System Demonstrations)

University of Arizona, Tucson, USA (PHD)

Education History

University of Arizona, Tucson, USA

PHD

Publications

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)
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)
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 (2022)
Marco Antonio Valenzuela-Escárcega, Gus Hahn-Powell, Dane Bell
Odinson: A Fast Rule-based Information Extraction Framework. LREC (2020)
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 (2020)
Robert Vacareanu, George Caique Gouveia Barbosa, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu
Parsing as Tagging. LREC (2020)
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)
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)
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)
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)
Andrew Zupon, Maria Alexeeva, Marco Antonio Valenzuela-Escárcega, Ajay Nagesh, Mihai Surdeanu
Lightly-supervised Representation Learning with Global Interpretability. SPNLP@NAACL-HLT (2019)
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 (2018)
Angus G. Forbes, Kristine Lee, Gus Hahn-Powell, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu
Text Annotation Graphs: Annotating Complex Natural Language Phenomena. LREC (2018)
Marco Antonio Valenzuela-Escárcega, Ajay Nagesh, Mihai Surdeanu
Lightly-supervised Representation Learning with Global Interpretability. CoRR (2018)
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)
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)
Enrique Noriega-Atala, Marco Antonio Valenzuela-Escárcega, Clayton T. Morrison, Mihai Surdeanu
Learning what to read: Focused machine reading. CoRR (2017)
Angus Graeme Forbes, Kristine Lee, Gus Hahn-Powell, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu
Text Annotation Graphs: Annotating Complex Natural Language Phenomena. CoRR (2017)
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)
Enrique Noriega-Atala, Marco Antonio Valenzuela-Escárcega, Clayton T. Morrison, Mihai Surdeanu
Learning what to read: Focused machine reading. EMNLP (2017)
Marco Antonio Valenzuela-Escárcega, Gus Hahn-Powell, Mihai Surdeanu
Odin's Runes: A Rule Language for Information Extraction. LREC (2016)
Marco Antonio Valenzuela-Escárcega, Gus Hahn-Powell, Dane Bell, Mihai Surdeanu
SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction. CoRR (2016)
Gus Hahn-Powell, Dane Bell, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu
This before That: Causal Precedence in the Biomedical Domain. BioNLP@ACL (2016)
Dane Bell, Gus Hahn-Powell, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu
Sieve-based Coreference Resolution in the Biomedical Domain. LREC (2016)
Gus Hahn-Powell, Dane Bell, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu
This before That: Causal Precedence in the Biomedical Domain. CoRR (2016)
Dane Bell, Gus Hahn-Powell, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu
An investigation of coreference phenomena in the biomedical domain. CoRR (2016)
Marco Antonio Valenzuela-Escárcega, Gus Hahn-Powell, Dane Bell, Mihai Surdeanu
SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction. BioNLP@ACL (2016)
Marco Antonio Valenzuela-Escárcega, Gus Hahn-Powell, Mihai Surdeanu
Description of the Odin Event Extraction Framework and Rule Language. CoRR (2015)
Mihai Surdeanu, Tom Hicks, Marco Antonio Valenzuela-Escárcega
Two Practical Rhetorical Structure Theory Parsers. HLT-NAACL (2015)
Marco Antonio Valenzuela-Escárcega, Gus Hahn-Powell, Mihai Surdeanu, Thomas Hicks
A Domain-independent Rule-based Framework for Event Extraction. ACL (System Demonstrations) (2015)
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)

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Publication Activity (10 Years)

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Marco Antonio Valenzuela-Escárcega