Mining a set of meaningful topics organized into a hierarchy is intuitively appealing since
topic correlations are ubiquitous in massive text corpora. To account for potential …

Taxonomies consist of machine-interpretable semantics and provide valuable knowledge for
many web applications. For example, online retailers (eg, Amazon and eBay) use …

Fringe groups and organizations have a long history of using euphemisms—ordinary-
sounding words with a secret meaning—to conceal what they are discussing. Nowadays …

Predicting missing facts in a knowledge graph (KG) is a crucial task in knowledge base
construction and reasoning, and it has been the subject of much research in recent works …

The Entity Set Expansion (ESE) task aims to expand a handful of seed entities with new
entities belonging to the same semantic class. Conventional ESE methods are based on …

Taxonomies are of great value to many knowledge-rich applications. As the manual
taxonomy curation costs enormous human effects, automatic taxonomy construction is in …

Entity set expansion, aiming at expanding a small seed entity set with new entities belonging
to the same semantic class, is a critical task that benefits many downstream NLP and IR …

Entity Set Expansion (ESE) is a promising task which aims to expand entities of the target
semantic class described by a small seed entity set. Various NLP and IR applications will …

Taxonomy is not only a fundamental form of knowledge representation, but also crucial to
vast knowledge-rich applications, such as question answering and web search. Most …

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