The Information and Language Processing Systems group is part of the Informatics Institute of the University of Amsterdam. Our research is aimed at intelligent information access, especially in the face of massive amounts of information. We work on finding and analyzing content (information retrieval, machine translation, language technology), the analysis of structural information (social networks, linked data) and the analysis of user behavior (self-learning search, log analysis, user studies).

We combine fundamental, experimental and applied research, and we do so using a broad range of textual data, data from the web or enterprises, edited or user generated, or obtained from (automatic) transcriptions of audio or video. We are involved in a large number of projects with other groups, both within and outside academia. Our research is funded by NWO, KNAW, the EU and through a range of public-private partnerships.

Recent News

Extra SEA: Search Engines Amsterdam on October 4th

SEA_logoThis edition of SEA is in partnership with FNWI. We are proud to announce an extra SEA event, as usual we will have two talks: one academic and one industry talk, followed by drinks. This Friday, we will have a talk by Jeff Dalton from the University of Glasgow (previously Google) and another by Gary Ren from Microsoft. Their talks will cover conversational search and conversational question answering respectively.
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Christophe Van Gysel releases pytrec_eval

All your favorite IR measures from trec_eval are now available in Python! Today, ILPS-er Christophe Van Gysel releases pytrec_eval, a Python interface to TREC’s evaluation tool, trec_eval. It is an attempt to stop the cultivation of custom implementations of Information Retrieval evaluation measures for the Python programming language. See