Abstract The Question Answering (QA) task aims to provide precise and quick answers to
user questions from a collection of documents or a database. This kind of IR system is sorely …

Social media such as Twitter generate large quantities of data about what a person is
thinking and doing in a particular location. We leverage this data to build models of locations …

Originating from Facebook, LinkedIn, Twitter, Instagram, YouTube, and many other
networking sites, the social media shared by users and the associated metadata are …

A standard approach to Information Retrieval (IR) is to model text as a bag of words.
Alternatively, text can be modelled as a graph, whose vertices represent words, and whose …

The increased online presence of jihadists has raised the possibility of individuals being
radicalised via the Internet. To date, the study of violent radicalisation has focused on …

In this report we discuss the experiments we conducted at the University of Wolverhampton
for the Microblog Track at TREC-2011. As this was the first time we participated in TREC and …

We describe Say Anything, a new interactive storytelling system that collaboratively writes
textual narratives with human users. Unlike previous attempts, this interactive storytelling …

The personal stories that people write in their Internet weblogs include a substantial amount
of information about the causal relationships between everyday events. In this paper we …

This paper details methods, results and analysis of the CLEF 2015 eHealth Evaluation Lab,
Task 2. This task investigates the effectiveness of web search engines in providing access to …

Abstract Text-Based Medical Image Retrieval (TBMIR) has been known to be successful in
retrieving medical images with textual descriptions. Usually, these descriptions are very brief …