“Learning to Explain Entity Relationships in Knowledge Graphs,” an upcoming ACL 2015 paper by Nikos Voskarides, Edgar Meij, Manos Tsagkias, Maarten de Rijke and Wouter Weerkamp, is available online now. In the paper we study the problem of explaining relationships between pairs of knowledge graph entities with human-readable descriptions. Our method extracts and enriches sentences…
Month: May 2015
SIGIR 2015 contributions online
Our contributions to SIGIR 2015 are online now: Aleksandr Chuklin, Ilya Markov, and Maarten de Rijke. An introduction to click models for web search. In SIGIR 2015: 38th international ACM SIGIR conference on Research and development in information retrieval, page 1113–1115. ACM, August 2015. Bibtex, PDF @inproceedings{chuklin-introduction-2015, author = {Chuklin, Aleksandr and Markov, Ilya and…
DESI VI paper on semantic search for e-discovery online
“Who is Involved? Semantic Search for E-Discovery,” a synthesis of some of our recent e-discovery related work, by David van Dijk, David Graus, Zhaochun Ren, Hans Henseler and Maarten de Rijke will be presented at the ICAIL 2015 Workshop on Using Machine Learning and Other Advanced Techniques to Address Legal Problems in E-Discovery and Information…
Call for participation – SIGIR 2015 Tutorials on Click Models for Web Search
We’ve published a web site devoted to our upcoming SIGIR 2015 tutorials on click models for web search. Please see http://clickmodels.weebly.com/sigir-2015-tutorials.html for details and the key topics covered in each of the two tutorials.
SIGIR 2015 tutorials on click models
Aleksandr Chuklin, Ilya Markov and I will be teaching an introductory and advanced tutorial on click models for web search at SIGIR 2015, on August 10, 2015. The tutorial is based on a forthcoming book on click models for web search. Participants will have access to the book, slides, as well as code used for…
ICWSM 2015 paper on determining the presence of political parties in social circles online
“Determining the Presence of Political Parties in Social Circles” by Christophe Van Gysel, Bart Goethals and Maarten de Rijke is available online. In the paper, we derive the political climate of the social circles of Twitter users using a weakly-supervised approach. By applying random walks over a sub-sample of Twitter’s social graph we infer a…