15 citations · 22 across the 7 of their papers we have counts for
9 papers
Bidirectional Small-Granularity Search between Code and Text
Marco A. Valenzuela-Escárcega, Enrique Noriega-Atala, Gus Hahn-Powell +2
We introduce the novel task of bidirectional small-granularity search between code and text, where the queries are small snippets of text or code and the results are also small fra…
Information Extraction from Conversation Transcripts: Neuro-Symbolic vs. LLM
Alice Saebom Kwak, Maria Alexeeva, Gus Hahn-Powell +5
The current trend in information extraction (IE) is to rely extensively on large language models, effectively discarding decades of experience in building symbolic or statistical I…
Syntax-driven Data Augmentation for Named Entity Recognition
Arie Pratama Sutiono, Gus Hahn-Powell
In low resource settings, data augmentation strategies are commonly leveraged to improve performance. Numerous approaches have attempted document-level augmentation (e.g., text cla…
Computer-assisted construct classification of organizational performance concerning different stakeholder groups
Seethalakshmi Gopalakrishnan, Victor Chen, Gus Hahn-Powell +1
The number of research articles in business and management has dramatically increased along with terminology, constructs, and measures. Proper classification of organizational perf…
Text Annotation Graphs: Annotating Complex Natural Language Phenomena
Angus G. Forbes, Kristine Lee, Gus Hahn-Powell +2
This paper introduces a new web-based software tool for annotating text, Text Annotation Graphs, or TAG. It provides functionality for representing complex relationships between wo…
SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction
Marco A. Valenzuela-Escarcega, Gus Hahn-Powell, Dane Bell +1
We propose an approach for biomedical information extraction that marries the advantages of machine learning models, e.g., learning directly from data, with the benefits of rule-ba…
This before That: Causal Precedence in the Biomedical Domain
Gus Hahn-Powell, Dane Bell, Marco A. Valenzuela-Escárcega +1
Causal precedence between biochemical interactions is crucial in the biomedical domain, because it transforms collections of individual interactions, e.g., bindings and phosphoryla…
Sieve-based Coreference Resolution in the Biomedical Domain
Dane Bell, Gus Hahn-Powell, Marco A. Valenzuela-Escárcega +1
We describe challenges and advantages unique to coreference resolution in the biomedical domain, and a sieve-based architecture that leverages domain knowledge for both entity and…
Description of the Odin Event Extraction Framework and Rule Language
Marco A. Valenzuela-Escárcega, Gus Hahn-Powell, Mihai Surdeanu
This document describes the Odin framework, which is a domain-independent platform for developing rule-based event extraction models. Odin aims to be powerful (the rule language al…