This year marked UAIC's first participation at the INFILE@CLEF competition. The purpose of this campaign is the evaluation of cross-language filtering systems, which is to successfully build an automated system that sepa- rates relevant from non-relevant documents written in different languages with respect to a given profile. For the batch filtering task, participants are provided with the whole document collection and must return the list of relevant docu- ments for each topic. We achieved good results in filtering documents, also ob- taining the highest originality score, when having English as target language. Our team was also the only one who submitted runs for cross-lingual and multi- lingual batch filtering, with French and English/French as target languages. A brief description of our system, including presentation of the Parsing, Indexing and Filtering modules is given in this paper, as well as the results of the submit- ted runs.
['Cristian-Alexandru Drăguşanu', 'Alecsandru Grigoriu', 'Adrian Iftene']
UAIC: participation in INFILE@CLEF task