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Tell Me What You Read: Automatic Expertise-Based Annotator Assignment for Text Annotation in Expert Domains
To address the issue, we propose a method to estimate the domain expertise of each annotator before the annotation process using information easily available from the annotators beforehand.
Evaluating Hierarchical Document Categorisation
Hierarchical document categorisation is a special case of multi-label document categorisation, where there is a taxonomic hierarchy among the labels.
On the (In)Effectiveness of Images for Text Classification
Images are core components of multi-modal learning in natural language processing (NLP), and results have varied substantially as to whether images improve NLP tasks or not.
Detecting Chemical Reactions in Patents
Extracting chemical reactions from patents is a crucial task for chemists working on chemical exploration.
Model Transfer with Explicit Knowledge of the Relation between Class Definitions
Instead of learning the individual classification layers for the support and target schemes, the proposed method converts the class label of each example on the support scheme into a set of candidate class labels on the target scheme via the class correspondence table, and then uses the candidate labels to learn the classification layer for the target scheme.
