Entity set expansion (ESE) aims to expand an entity seed set to obtain more entities which
have common properties. ESE is important for many applications such as dictionary …

A search query, being a very concise grounding of user intent, could potentially have many
possible interpretations. Search engines hedge their bets by diversifying top results to cover …

Entity Set Expansion (ESE) is the problem that expands a small set of seed entities into a
more complete set, entities of which have common traits. As a popular data mining task, ESE …

Mining subgraph patterns is an active area of research due to its wide-ranging applications.
Examples include frequent subgraph mining, discriminative subgraph mining, statistically …

Due to the huge amount of data published on the Web, the Web search process has become
more difficult, and it is sometimes hard to get the expected results, especially when the users …

Abstract Diversified Query Expansion aims to present the user with a diverse list of query
expansions so as to better communicate their intent to the retrieval system. Current …

Entity embedding plays an indispensable role in many entity-related problems. Currently,
mainstream entity embedding methods build on the notion that entities with similar contexts …

This paper studies the automated categorization and extraction of scientific concepts from
titles of scientific articles, in order to gain a deeper understanding of their key contributions …