This year we participated at 4 Question Answering tasks at CLEF: the Italian monolingual (I), Italian-English (I/E), Bulgarian monolingual (B), and Bulgarian-English (B/E) bilingu...
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Abstract. This research explores a new method for Semantic Web service matchmaking based on iSPARQL strategies, which enables to query the Semantic Web with techniques from traditi...
Ranking for multilingual information retrieval (MLIR) is a task to rank documents of different languages solely based on their relevancy to the query regardless of query’s langu...
We perform a survey into the scope and utility of opinion mining in legal Weblogs (a.k.a. blawgs). The number of `blogs' in the legal domain is growing at a rapid pace and ma...