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Found 9 papers, 5 papers with code
QuickGraph: A Rapid Annotation Tool for Knowledge Graph Extraction from Technical Text
Acquiring high-quality annotated corpora for complex multi-task information extraction (MT-IE) is an arduous and costly process for human-annotators.
LexiClean: An annotation tool for rapid multi-task lexical normalisation
LexiClean’s main contribution is support for simultaneous in situ token-level modification and annotation that can be rapidly applied corpus wide.
Large Language Models for Failure Mode Classification: An Investigation
In this paper we present the first investigation into the effectiveness of Large Language Models (LLMs) for Failure Mode Classification (FMC).
E2EET: From Pipeline to End-to-end Entity Typing via Transformer-Based Embeddings
They are therefore sensitive to window size selection and are unable to incorporate the context of the entire document.
Word-level Lexical Normalisation using Context-Dependent Embeddings
In this paper we introduce a word-level GRU-based LN model and investigate the effectiveness of recent embedding techniques on word-level LN.
Redcoat: A Collaborative Annotation Tool for Hierarchical Entity Typing
We introduce Redcoat, a web-based annotation tool that supports collaborative hierarchical entity typing.
ICDM 2019 Knowledge Graph Contest: Team UWA
We present an overview of our triple extraction system for the ICDM 2019 Knowledge Graph Contest.
Variational Discriminant Analysis with Variable Selection
A Bayesian method that seamlessly fuses classification via discriminant analysis and hypothesis testing is developed.
Methodology
Natural Language Feature Selection via Cooccurrence
Specificity is important for extracting collocations, keyphrases, multi-word and index terms [Newman et al. 2012].
