With the ever increasing size of the web, relevant information extraction on the Internet with
a query formed by a few keywords has become a big challenge. Query Expansion (QE) …

Problems that involve interacting with humans, such as natural language understanding,
have not proven to be solvable by concise, neat formulas like F= ma. Instead, the best …

In information retrieval, query auto completion (QAC), also known as typeahead [**ao et al.,
2013, Cai et al., 2014b] and auto-complete suggestion [Jain and Mishne, 2010], refers to the …

It is widely known that there exists a semantic gap between web documents and user
queries and bridging this gap is crucial to advance information retrieval systems. The task of …

Keyphrase extraction aims to select a set of terms from a document as a short summary of
the document. Most methods extract keyphrases according to their statistical properties in …

Long queries often suffer from low recall in Web search due to conjunctive term matching.
The chances of matching words in relevant documents can be increased by rewriting query …

Due to the inherent complexity of natural languages, many natural language tasks are ill-
posed for mathematically precise algorithmic solutions. To circumvent this problem …

Microblogging provides a new platform for communicating and sharing information among
Web users. Users can express opinions and record daily life using microblogs. Microblogs …

It is popular for users in Web 2.0 era to freely annotate online resources with tags. To ease
the annotation process, it has been great interest in automatic tag suggestion. We propose a …

We address the problem of finding query facets which are multiple groups of words or
phrases that explain and summarize the content covered by a query. We assume that the …