Millennium Problems In order to celebrate mathematics in the new millennium, The Clay Mathematics Institute of Cambridge, Massachusetts (CMI) has named seven Prize Problems. The Scientific Advisory Board of CMI selected these problems, focusing on import
Following a successful first edition, we are pleased to announce the 2nd edition of the Large Scale Hierarchical Text Classification (LSHTC) Pascal Challenge. The LSHTC Challenge is a hierarchical text classification competition, using large datasets. This year’s challenge will increase the scale and the difficulty of the task, using data from Wikipedia (www.wikipedia.org), in addition to the ODP Web directory data (www.dmoz.org).
mendation service which can be called via HTTP by BibSonomy's recommender when a user posts a bookmark or publication. All participating recommenders are called on each posting process, one of them is choosen to actually deliver the results to the user. We can then measure
The Natural Language Decathlon (decaNLP) is a new benchmark for studying general NLP models that can perform a variety of complex, natural language tasks.
Werdende Eltern haben die quälende Wahl: Franz wie der Großvater oder Ronaldo wie der Fußballstar? Die Namenssuche fällt den Paaren immer schwerer. Informatiker der Universität Würzburg unterstützen Paare auf der Suche nach dem perfekten Namen jetzt mit einer Internetplattform, die helfen soll, den richtigen Namen für den Nachwuchs zu finden.
This year's discovery challenge presents two tasks in the new area
of social bookmarking. One task covers spam detection and
the other covers tag recommendations. As we are hosting the social bookmark and
publication sharing system BibSonomy, we are able to provide a dataset
of BibSonomy for the challenge. A training dataset for both tasks is provided at the beginning of the competition.
The test dataset will be released 48 hours before the final deadline. Due to a very tight schedule we cannot grant any deadline
extension.
The presentation of the results will take place at the ECML/PKDD workshop where the top teams are
invited to present their approaches and results.
This year's discovery challenge presents two tasks in the new area
of social bookmarking. One task covers spam detection and
the other covers tag recommendations. As we are hosting the social bookmark and
publication sharing system BibSonomy, we are able to provide a dataset
of BibSonomy for the challenge. A training dataset for both tasks is provided at the beginning of the competition.
The test dataset will be released 48 hours before the final deadline. Due to a very tight schedule we cannot grant any deadline
extension.
The presentation of the results will take place at the ECML/PKDD workshop where the top teams are
invited to present their approaches and results.
Project Euler is a series of challenging mathematical/computer programming problems that will require more than just mathematical insights to solve. Although mathematics will help you arrive at elegant and efficient methods, the use of a computer and programming skills will be required to solve most problems.
The motivation for starting Project Euler, and its continuation, is to provide a platform for the inquiring mind to delve into unfamiliar areas and learn new concepts in a fun and recreational context.
mendation service which can be called via HTTP by BibSonomy's recommender when a user posts a bookmark or publication. All participating recommenders are called on each posting process, one of them is choosen to actually deliver the results to the user. We can then measure
In the INSEMTIVES game challenge we are looking for colorful, innovative ideas with a twist for new “games with a purpose”. The purpose, of course, is primarily the creation of useful semantic content.
There are currently few datasets appropriate for training and evaluating models for non-goal-oriented dialogue systems (chatbots); and equally problematic, there is currently no standard procedure for evaluating such models beyond the classic Turing test.
The aim of our competition is therefore to establish a concrete scenario for testing chatbots that aim to engage humans, and become a standard evaluation tool in order to make such systems directly comparable.
S. Bleul, T. Weise, and K. Geihs. Service-Oriented Computing (SOC'2009), The European Association of Software Science and Technology, (March 2009)Collocated with KiVS'09 in Kassel, Germany. Appeared in: Electronic
Communications of the EASST (ECASST), ISSN 1863-2122, volume 17, part
Global Sensor Networks (GSN 2009), The European Association of Software
Science and Technology\\
The work is online available at
http://www.it-weise.de/documents/index.html\#BWG2009TWSCAROSWSC.\\
The paper can be downloaded at
http://www.it-weise.de/documents/files/BWG2009TWSCAROSWSC.pdf.\\
The presentation can be downloaded at
http://www.it-weise.de/documents/files/BWG2009TWSCAROSWSC\_pres.pdf.\\
Contact Thomas Weise at tweise@gmx.de or http://www.it-weise.de/..
L. Ratinov, and D. Roth. Proceedings of the Thirteenth Conference on Computational Natural Language Learning, page 147--155. Stroudsburg, PA, USA, Association for Computational Linguistics, (2009)
J. Yamagishi, T. Nose, H. Zen, T. Toda, and K. Tokuda. Proceedings of the 2008 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), page 3957-3960. Las Vegas, NV, USA, (March 2008)
A. Hotho, D. Benz, R. Jäschke, and B. Krause (Eds.) Workshop at 18th Europ. Conf. on Machine Learning (ECML'08) / 11th Europ. Conf. on Principles and Practice of Knowledge Discovery in Databases (PKDD'08), (2008)
A. Hotho, D. Benz, R. Jäschke, and B. Krause (Eds.) Workshop at 18th Europ. Conf. on Machine Learning (ECML'08) / 11th Europ. Conf. on Principles and Practice of Knowledge Discovery in Databases (PKDD'08), (2008)
A. Hotho, D. Benz, R. Jäschke, and B. Krause (Eds.) Workshop at 18th Europ. Conf. on Machine Learning (ECML'08) / 11th Europ. Conf. on Principles and Practice of Knowledge Discovery in Databases (PKDD'08), (2008)