Constructing Task-Specific Taxonomies for Document Collection Browsing

Comparing Taxonomies for Organising Collections of Documents

tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification

The use of background knowledge is largely unexploited in text classification tasks. This paper explores word taxonomies as means for constructing new semantic features, which may improve the performance and robustness o…

Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale?

We address the task of hierarchical multi-label classification (HMC) of scientific documents at an industrial scale, where hundreds of thousands of documents must be classified across thousands of dynamic labels. The rap…

Utilizing Temporal Information for Taxonomy Construction

Taxonomies play an important role in many applications by organizing domain knowledge into a hierarchy of {`}is-a{'} relations between terms. Previous work on automatic construction of taxonomies from text documents eith…

Extracting Document Relations from Search Corpus by Marginalizing over User Queries

Understanding relationships between documents in large-scale corpora is essential for knowledge discovery and information organization. However, existing approaches rely heavily on manual annotation or predefined relatio…