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
This 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. Continue reading →
This edition of SEA is in partnership with FNWI. As usual we will have two talks: one academic and one industry talk, followed by drinks. This Friday, we will have a talk by Harrie Oosterhuis from ILPS about Online Evaluation and another by Or Levi from Marktplaats.nl/Ebay about Sponsored Search. Continue reading →
“What does attention in neural machine translation pay attention to?” by ILPS-ers Hamidreza Ghader and Christof Monz was accepted at IJCNLP 2017, the 8th International Joint Conference on Natural Language Processing.
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 https://github.com/cvangysel/pytrec_eval