1 code implementation • ACL 2022 • Tyler Bikaun, Michael Stewart, Wei Liu
Acquiring high-quality annotated corpora for complex multi-task information extraction (MT-IE) is an arduous and costly process for human-annotators.
1 code implementation • EMNLP (ACL) 2021 • Tyler Bikaun, Tim French, Melinda Hodkiewicz, Michael Stewart, Wei Liu
LexiClean’s main contribution is support for simultaneous in situ token-level modification and annotation that can be rapidly applied corpus wide.
1 code implementation • 15 Sep 2023 • Michael Stewart, Melinda Hodkiewicz, Sirui Li
In this paper we present the first investigation into the effectiveness of Large Language Models (LLMs) for Failure Mode Classification (FMC).
no code implementations • 23 Mar 2020 • Michael Stewart, Wei Liu
They are therefore sensitive to window size selection and are unable to incorporate the context of the entire document.
no code implementations • 13 Nov 2019 • Michael Stewart, Wei Liu, Rachel Cardell-Oliver
In this paper we introduce a word-level GRU-based LN model and investigate the effectiveness of recent embedding techniques on word-level LN.
no code implementations • IJCNLP 2019 • Michael Stewart, Wei Liu, Rachel Cardell-Oliver
We introduce Redcoat, a web-based annotation tool that supports collaborative hierarchical entity typing.
2 code implementations • 4 Sep 2019 • Michael Stewart, Majigsuren Enkhsaikhan, Wei Liu
We present an overview of our triple extraction system for the ICDM 2019 Knowledge Graph Contest.
1 code implementation • 17 Dec 2018 • Weichang Yu, John T. Ormerod, Michael Stewart
A Bayesian method that seamlessly fuses classification via discriminant analysis and hypothesis testing is developed.
Methodology
no code implementations • 8 Mar 2014 • Michael Stewart
Specificity is important for extracting collocations, keyphrases, multi-word and index terms [Newman et al. 2012].