Text data are ubiquitous and play an essential role in big data applications. However, text
data are mostly unstructured. Transforming unstructured text into structured units (eg …

Relevance is the most important factor to assure users' satisfaction in search and the
success of a search engine heavily depends on its performance on relevance. It has been …

Huge amounts of search log data have been accumulated at Web search engines.
Currently, a popular Web search engine may receive billions of queries and collect terabytes …

In this paper we study the problem of linking open-domain web-search queries towards
entities drawn from the full entity inventory of Wikipedia articles. We introduce SMAPH-2, a …

Much recent work focuses on formal interpretation of natural question utterances, with the
goal of executing the resulting structured queries on knowledge graphs (KGs) such as …

Query logs have been successfully used to improve Web search. One of the directions
exploits user clickthrough data to extract related terms to a query to perform query expansion …

Query segmentation is the problem of identifying those keywords in a query, which together
form compound concepts or phrases like" new york times". Such segments can help a …

A lot of digital ink has been spilled on" big data" over the past few years. Most of this surge
owes its origin to the various types of unstructured data in the wild, among which the …

Query spelling correction is a crucial component of modern search engines. Existing
methods in the literature for search query spelling correction have two major drawbacks …

Phrase mining is a key research problem for semantic analysis and text-based information
retrieval. The existing approaches based on NLP, frequency, and statistics cannot extract …