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

SEA: Search Engines Amsterdam on May 27

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This month we will have a special edition of SEA: SEA++. We will have three talks:  two academic and one industry, followed by drinks. The academic talks will be given by Diane Kelly from University of North Carolina at Chapel Hill and Ilya Markov from ILPS-UvA. Dolf Trieschnigg from MyDataFactory will give the industry talk. The titles and abstracts of the talks will be announced later.

Please note that this edition of SEA will be held in SPUI25.
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SEA: Search Engines Amsterdam on April 29

SEA_logoTwo more talks are coming up, mark your agenda’s. The usual recipe: one industry speaker, one academic speaker and drinks afterwards. Christophe Van Gysel (ILPS) will give the academic talk. He will talk about “Unsupervised, Efficient and Semantic Expertise Retrieval”. Andreas Kohn (Collaborne) will give the industry talk. His talk is about “Search and Beyond: Challenges for Search for Innovation Management”.  Continue reading

Aldo Lipani visits ILPS

PastedGraphic-1 Aldo Lipani is visiting for a month. Aldo is a PhD Student at the Vienna University of Technology working on evaluation in Information Retrieval. Aldo’s main focus is on a) improving the reliability of the test collection based evaluation, in particular aiming at correcting the pool bias (the effect that documents that were not selected in the pool created from the original runs will never be considered relevant) and, on b) developing of an analytical approach to accessibility measures.

Zhaochun Ren wins Chinese Government Award

CSCILPS-er Zhaochun Ren has been awarded the “2016 Chinese Government Award for Outstanding Self-Financed (non-government sponsored) Students Abroad” for his PhD research on information retrieval, under Maarten de Rijke’s supervision. In 2003, the Chinese government set up an award for outstanding self-financed students abroad to honor overseas Chinese students with Continue reading

Neu-IR: SIGIR 2016 Workshop on Neural Information Retrieval

logo-pos-55c9bb66v1_site_iconSIGIR 2016 will feature a workshop on Neural Information Retrieval. In recent years, deep neural networks have yielded significant performance improvements in application areas such as speech recognition and computer vision. They have also had an impact in natural language applications such as machine translation, image caption generation and conversational agents. Continue reading