A generative probabilistic framework for learning spatial language. - Colin R. Dawson; Jeremy B. Wright; Antons Rebguns; Marco Antonio Valenzuela-Escárcega; Daniel Fried; Paul R. Cohen (ICDL-EPIROB, 2013)

A Domain-independent Rule-based Framework for Event Extraction. - Marco Antonio Valenzuela-Escárcega; Gus Hahn-Powell; Mihai Surdeanu; Thomas Hicks 002 (ACL (System Demonstrations), 2015)

Two Practical Rhetorical Structure Theory Parsers. - Mihai Surdeanu; Tom Hicks; Marco Antonio Valenzuela-Escárcega (HLT-NAACL, 2015)

Description of the Odin Event Extraction Framework and Rule Language. - Marco Antonio Valenzuela-Escárcega; Gus Hahn-Powell; Mihai Surdeanu (CoRR, 2015)

This before That: Causal Precedence in the Biomedical Domain. - Gus Hahn-Powell; Dane Bell; Marco Antonio Valenzuela-Escárcega; Mihai Surdeanu (BioNLP@ACL, 2016)

SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction. - Marco Antonio Valenzuela-Escárcega; Gus Hahn-Powell; Dane Bell; Mihai Surdeanu (BioNLP@ACL, 2016)

Sieve-based Coreference Resolution in the Biomedical Domain. - Dane Bell; Gus Hahn-Powell; Marco Antonio Valenzuela-Escárcega; Mihai Surdeanu (LREC, 2016)

Odin's Runes: A Rule Language for Information Extraction. - Marco Antonio Valenzuela-Escárcega; Gus Hahn-Powell; Mihai Surdeanu (LREC, 2016)

An investigation of coreference phenomena in the biomedical domain. - Dane Bell; Gus Hahn-Powell; Marco Antonio Valenzuela-Escárcega; Mihai Surdeanu (CoRR, 2016)

Interpretable Models for Information Extraction. - Marco Antonio Valenzuela-Escárcega (2016)

Swanson linking revisited: Accelerating literature-based discovery across domains using a conceptual influence graph. - Gus Hahn-Powell; Marco Antonio Valenzuela-Escárcega; Mihai Surdeanu (ACL (System Demonstrations), 2017)

Tell Me Why: Using Question Answering as Distant Supervision for Answer Justification. - Rebecca Sharp; Mihai Surdeanu; Peter Jansen 001; Marco Antonio Valenzuela-Escárcega; Peter Clark; Michael Hammond (CoNLL, 2017)

Learning what to read: Focused machine reading. - Enrique Noriega-Atala; Marco Antonio Valenzuela-Escárcega; Clayton T. Morrison; Mihai Surdeanu (EMNLP, 2017)

Text Annotation Graphs: Annotating Complex Natural Language Phenomena. - Angus G. Forbes; Kristine Lee; Gus Hahn-Powell; Marco Antonio Valenzuela-Escárcega; Mihai Surdeanu (LREC, 2018)

Scientific Discovery as Link Prediction in Influence and Citation Graphs. - Fan Luo; Marco Antonio Valenzuela-Escárcega; Gus Hahn-Powell; Mihai Surdeanu (TextGraphs@NAACL-HLT, 2018)

Large-scale automated machine reading discovers new cancer-driving mechanisms. - Marco Antonio Valenzuela-Escárcega; Özgün Babur; Gus Hahn-Powell; Dane Bell; Thomas Hicks 002; Enrique Noriega-Atala; Xia Wang; Mihai Surdeanu; Emek Demir; Clayton T. Morrison (Database J. Biol. Databases Curation, 2018)

Lightly-supervised Representation Learning with Global Interpretability. - Marco Antonio Valenzuela-Escárcega; Ajay Nagesh; Mihai Surdeanu (CoRR, 2018)

Lightly-supervised Representation Learning with Global Interpretability. - Andrew Zupon; Maria Alexeeva; Marco Antonio Valenzuela-Escárcega; Ajay Nagesh; Mihai Surdeanu (SPNLP@NAACL-HLT, 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 (NAACL-HLT (Demonstrations), 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; et al. (NAACL-HLT (Demonstrations), 2019)

An Unsupervised Method for Learning Representations of Multi-word Expressions for Semantic Classification. - Robert Vacareanu; Marco Antonio Valenzuela-Escárcega; Rebecca Sharp; Mihai Surdeanu (COLING, 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 (LREC, 2020)

Parsing as Tagging. - Robert Vacareanu; George Caique Gouveia Barbosa; Marco Antonio Valenzuela-Escárcega; Mihai Surdeanu (LREC, 2020)

Odinson: A Fast Rule-based Information Extraction Framework. - Marco Antonio Valenzuela-Escárcega; Gus Hahn-Powell; Dane Bell (LREC, 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)

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 (LREC, 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)

Active Learning Design Choices for NER with Transformers. - Robert Vacareanu; Enrique Noriega-Atala; Gus Hahn-Powell; Marco Antonio Valenzuela-Escárcega; Mihai Surdeanu (LREC/COLING, 2024)