The Information and Language Processing Systems group is part of the Intelligent Systems Lab Amsterdam at the Informatics Institute, University of Amsterdam. Our research is aimed at intelligent information access, especially in the face of massive amounts of information. Addressing this task requires synergy between information retrieval techniques, language technology, and effective methods for dealing with semi-structured information.
We combine fundamental, experimental and applied research, and we do so using a broad range of textual data, from the web, from enterprises, feed-based, edited, user generated, or obtained from (automatic) transcriptions of audio or video. We are involved with various projects with other groups, both within and outside the University of Amsterdam. Our research is funded by NWO, the EU and through a range of public-private partnerships.
Recent news
07 May 2012 : David Graus joins ILPS
David Graus joins ILPS as a PhD student to work on the Semantic Search for E-Discovery, under Maarten de Rijke's supervision.
04 May 2012 : Tatiana Tarasova joins ILPS
Tatiana Tarasova joins ILPS to work as a PhD student on the ENVRI project under Maarten Marx's supervision.
03 May 2012 : Bert Gijsbers Joins ILPS
Bert Gijsbers joins ILPS to work as a software engineer on an open data pilot within the Hyperlocal project, with Ork de Rooij, Edgar Meij and Maarten de Rijke.
06 Apr 2012 : Amazon Education Research Grant for MSc student
Kyrre Wahl Kongsgård (supervised by Edgar Meij) has been awarded an Amazon AWS in Eduction Research Grant worth 20K Dollar for a project called "Large-scale Expertise Discovery and Question Recommendation on Community Question Answering Websites". The Msc graduation project aims to develop novel methods for expertise discovery in the context of personalized question recommendation on Community Question Answering platforms, such as Stackoverflow and Yahoo! Answers.
05 Apr 2012 : ECIR 2012 Best Poster Award
Andrei Oghina, Mathias Breuss, Manos Tsagkias, and Maarten de Rijke have won the best poster award at the 34th European Conference on Information Retrieval (ECIR 2012) for their paper "Predicting IMDB Movie Ratings Using Social Media".