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 …

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 …

Entity Set Expansion (ESE) is a valuable task that aims to find entities of the target semantic
class described by given seed entities. Various Natural Language Processing (NLP) and …

The growing number of open datasets has created new opportunities to derive insights and
address important societal problems. These data, however, often come with little or no …

Given a small set of seed entities (eg,“USA”,“Russia”), corpus-based set expansion is to
induce an extensive set of entities which share the same semantic class (Country in this …

Entity set expansion and synonym discovery are two critical NLP tasks. Previous studies
accomplish them separately, without exploring their interdependencies. In this work, we …

Given a few seed entities of a certain type (eg, Software or Programming Language), entity
set expansion aims to discover an extensive set of entities that share the same type as the …

Accurately typing entity mentions from text segments is a fundamental task for various
natural language processing applications. Many previous approaches rely on massive …

Low-resource Complex Named Entity Recognition aims to detect entities with the form of any
linguistic constituent under scenarios with limited manually annotated data. Existing studies …