Discourse relation classification is an important component for automatic discourse parsing
and natural language understanding. The performance bottleneck of a discourse parser …

Statistical modeling of outcomes based on a patient's presenting symptoms
(symptomatology) can help deliver high quality care and allocate essential resources, which …

In this article, we develop a methodological approach for organizational research regarding
the construction of multidimensional and relational similarity measures by using the vector …

Twitter has become one of the most popular Location-based Social Networks (LBSNs) that
bridges physical and virtual worlds. Tweets, 140-character-long messages, are aimed to …

Many Information Retrieval (IR) and Natural language processing (NLP) systems require
textual similarity measurement in order to function, and do so with the help of similarity …

The increasing availability of biological data is improving our understanding of diseases and
providing new insight into their underlying relationships. Thanks to the improvements on …

We report on the first structured distributional semantic model for Croatian, DM. HR. It is
constructed after the model of the English Distributional Memory (Baroni and Lenci, 2010) …

Searching for similar documents and exploring major themes covered across groups of
documents are common activities when browsing collections of scientific papers. This …

Plagiarism is defined as an unauthorized act of using or adapting others' works and ideas
without referring to them. Numerous methods have been proposed to detect plagiarism in …

Folksonomies-networks of users, resources, and tags allow users to easily retrieve, organize
and browse web contents. However, their advantages are still limited according to the …