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
Friday, July 31, we’ll have our summer edition of SEA with two talks followed by drinks.
Antonio Gulli (Elsevier) will talk about “Smart Data and Applications for the Publishing Industry” and Xinyi Li (University of Amsterdam) will talk about “Academic Failures and Struggles: Query Suggestions in Academic Search”.
Science Park 904, Room H0.08, Amsterdam. Time: Friday, July 31, 16-17hrs with drinks afterwards. Note that this room is in a different part of the building a rather long walk.
On July 17, 2015, Ivan Zapreev joined the ILPS group as a scientific programmer. Ivan obtained a PhD in Computer Science from the University of Twente in 2008. Before joining ILPS, Ivan worked as a post-dotoral researcher at CWI, as a software developer at ASML, and as a lecturer at Fontys Hogescholen. Ivan will work on the REMEDI (Robust and Efficient Machine Translation in a Distributed Infrastructure) project under the supervision of Christof Monz.
After skipping a year, the Dutch-Belgian IR conference will be organized again. DIR2015 is coming to Amsterdam by the end of this calendar year. The exact date will be announced soon. Follow DIR2015 on Twitter to stay in the loop.