Gus Hahn-Powell

According to our database, Gus Hahn-Powell authored at least 22 papers between 2015 and 2024.

Collaborative distances:

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

2024

Active Learning Design Choices for NER with Transformers.

Robert Vacareanu, Enrique Noriega-Atala, Gus Hahn-Powell, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Text to Causal Knowledge Graph: A Framework to Synthesize Knowledge from Unstructured Business Texts into Causal Graphs.

Seethalakshmi Gopalakrishnan, Victor Zitian Chen, Wenwen Dou, Gus Hahn-Powell, Sreekar Nedunuri, Wlodek Zadrozny

Inf., 2023

2022

Syntax-driven Data Augmentation for Named Entity Recognition.

Arie Pratama Sutiono, Gus Hahn-Powell

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

Computer-assisted construct classification of organizational performance concerning different stakeholder groups.

Seethalakshmi Gopalakrishnan, Victor Zitian Chen, Gus Hahn-Powell, Bharadwaj Tirunagar

CoRR, 2021

Country-level Arabic Dialect Identification using RNNs with and without Linguistic Features.

Elsayed Issa, Mohammed AlShakhori, Reda Al-Bahrani, Gus Hahn-Powell

Proceedings of the Sixth Arabic Natural Language Processing Workshop, 2021

2020

Odinson: A Fast Rule-based Information Extraction Framework.

Marco Antonio Valenzuela-Escárcega, Gus Hahn-Powell, Dane Bell

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

Exploring Interpretability in Event Extraction: Multitask Learning of a Neural Event Classifier and an Explanation Decoder.

Zheng Tang, Gus Hahn-Powell, Mihai Surdeanu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2020

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

2018

Science Citation Knowledge Extractor.

Heather C. Lent, Gustave Hahn-Powell, Asher Haug-Baltzell, Sean Davey, Mihai Surdeanu, Eric Lyons

Frontiers Res. Metrics Anal., 2018

Large-scale automated machine reading discovers new cancer-driving mechanisms.

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

Database J. Biol. Databases Curation, 2018

Scientific Discovery as Link Prediction in Influence and Citation Graphs.

Fan Luo, Marco Antonio Valenzuela-Escárcega, Gus Hahn-Powell, Mihai Surdeanu

Proceedings of the Twelfth Workshop on Graph-Based Methods for Natural Language Processing, 2018

Text Annotation Graphs: Annotating Complex Natural Language Phenomena.

Angus G. Forbes, Kristine Lee, Gus Hahn-Powell, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu

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

2017

Swanson linking revisited: Accelerating literature-based discovery across domains using a conceptual influence graph.

Gus Hahn-Powell, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

An investigation of coreference phenomena in the biomedical domain.

Dane Bell, Gus Hahn-Powell, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu

CoRR, 2016

Odin's Runes: A Rule Language for Information Extraction.

Marco Antonio Valenzuela-Escárcega, Gus Hahn-Powell, Mihai Surdeanu

Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Sieve-based Coreference Resolution in the Biomedical Domain.

Dane Bell, Gus Hahn-Powell, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu

Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction.

Marco Antonio Valenzuela-Escárcega, Gus Hahn-Powell, Dane Bell, Mihai Surdeanu

Proceedings of the 15th Workshop on Biomedical Natural Language Processing, 2016

This before That: Causal Precedence in the Biomedical Domain.

Gus Hahn-Powell, Dane Bell, Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu

Proceedings of the 15th Workshop on Biomedical Natural Language Processing, 2016

2015

Higher-order Lexical Semantic Models for Non-factoid Answer Reranking.

Daniel Fried, Peter Jansen, Gustave Hahn-Powell, Mihai Surdeanu, Peter Clark

Trans. Assoc. Comput. Linguistics, 2015

Description of the Odin Event Extraction Framework and Rule Language.

Marco Antonio Valenzuela-Escárcega, Gus Hahn-Powell, Mihai Surdeanu

CoRR, 2015

A Domain-independent Rule-based Framework for Event Extraction.

Marco Antonio Valenzuela-Escárcega, Gus Hahn-Powell, Mihai Surdeanu, Thomas Hicks

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015