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Gus Hahn-Powell

2 accepted papers

2024

Active Learning Design Choices for NER with Transformers

COLING 2024main

We explore multiple important choices that have not been analyzed in conjunction regarding active learning for token classification using transformer networks. These choices are: (i) how to select what to annotate, (ii) decide whether to annotate entire sentences or smaller sentence fragments, (iii)…

Cited by 3SourcePDFScholar
2022

A Human-machine Interface for Few-shot Rule Synthesis for Information Extraction

NAACL 2022system demonstrations

We propose a system that assists a user in constructing transparent information extraction models, consisting of patterns (or rules) written in a declarative language, through program synthesis. Users of our system can specify their requirements through the use of examples,which are collected with a…