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

Four papers accepted at Neu-IR 2017

logo-uvaFour papers were accepted at Neu-IR 2017: The SIGIR 2017 Workshop on Neural Information Retrieval. They are “Share your model instead of your data: Privacy preserving mimic learning for ranking” by Mostafa Dehghani, Hosein Azarbonyad, Jaap Kamps, and Maarten de Rijke; “Modeling label ambiguity for listwise neural learning to rank” by Rolf Jagerman, Julia Kiseleva, and Maarten de Rijke; “Thread reconstruction in conversational data using neural coherence models” by Dat Tien Nguyen, Shafiq Joty, Basma El Amel Boussaha, and Maarten de Rijke; and “Semantic entity retrieval toolkit” by Christophe Van Gysel, Maarten de Rijke, and Evangelos Kanoulas.