The large number of tweets generated daily is providing decision makers with means to
obtain insights into recent events around the globe in near real-time. The main barrier for …

ABSTRACT NER in microposts is a key and challenging task of mining semantics from
social media. Our evaluation of a number of popular NE recognizers over a micropost …

Entries in microblogging sites are very short. For example, a 'tweet'(a post or status update
on the popular microblogging site Twitter) can contain at most 140 characters. To comply …

A large amount of unstructured data is produced daily through numerous media around us.
Despite that computer systems are becoming more powerful, even the commodity hardware …

Collaboration between large and small & medium-sized enterprises is still not adequately
supported by current groupware solutions. In this paper, we present a novel approach that …

In this paper we discuss the motivation and vision of better search, where search results are
entities (things) and not documents. We describe work done in area of entity search (or …

Abstract Natural Language Processing (NLP) is important and interesting area in computer
science affecting also other spheres of science; eg, geographical processing, social …

Named entity recognition (NER) is a key task of mining semantics from text. Recent growth of
social media raised new challenges for NER. Our evaluation of a number of popular NE …

Social media content represents a large portion of all textual content appearing on the
Internet. These streams of user generated content (UGC) provide an opportunity and …