Melinda Hodkiewicz — accepted AI-conference papers

2024

MaintIE: A Fine-Grained Annotation Schema and Benchmark for Information Extraction from Maintenance Short Texts

Tyler K. Bikaun, Tim French, Michael Stewart, Wei Liu, Melinda Hodkiewicz

COLING 2024main

Maintenance short texts (MST), derived from maintenance work order records, encapsulate crucial information in a concise yet information-rich format. These user-generated technical texts provide critical insights into the state and maintenance activities of machines, infrastructure, and other engine…

Cited by 6 Source ↗PDF ↗code ↗Scholar ↗

2021

LexiClean: An annotation tool for rapid multi-task lexical normalisation

Tyler Bikaun, Tim French, Melinda Hodkiewicz, Michael Stewart, Wei Liu

EMNLP 2021system demonstrations

NLP systems are often challenged by difficulties arising from noisy, non-standard, and domain specific corpora. The task of lexical normalisation aims to standardise such corpora, but currently lacks suitable tools to acquire high-quality annotated data to support deep learning based approaches. In…

Cited by 7 Source ↗PDF ↗code ↗Scholar ↗