Ontologies have gained a lot of popularity and recognition in the semantic web because of
their extensive use in Internet-based applications. Ontologies are often considered a fine …

This paper describes the second edition of the shared task on Taxonomy Extraction
Evaluation organised as part of SemEval 2016. This task aims to extract hypernym-hyponym …

Taxonomy is a knowledge graph of concept hierarchy which plays a significant role in
semantic entailment and is widely used in many downstream natural language processing …

Hypernymy relations (those where an hyponym term shares a “isa” relationship with his
hypernym) play a key role for many Natural Language Processing (NLP) tasks, eg ontology …

The automated construction of topic taxonomies can benefit numerous applications,
including web search, recommendation, and knowledge discovery. One of the major …

Taxonomy construction is not only a fundamental task for semantic analysis of text corpora,
but also an important step for applications such as information filtering, recommendation …

Taxonomies are important knowledge ontologies that underpin numerous applications on a
daily basis, but many taxonomies used in practice suffer from the low coverage issue. We …

Automatic taxonomy induction is crucial for web search, recommendation systems, and
question answering. Manual curation of taxonomies is expensive in terms of human effort …

We introduce the use of Poincar\'e embeddings to improve existing state-of-the-art
approaches to domain-specific taxonomy induction from text as a signal for both relocating …

Taxonomies have found wide applications in various domains, especially online for item
categorization, browsing, and search. Despite the prevalent use of online catalog …