Berlin wird leiser: aktiv gegen Verkehrslärm. - Die Senatsverwaltung für Stadtentwicklung und Umwelt Berlin will ihre Bürger an der Erarbeitung des Lärmaktionsplans beteiligen. Alle Bürgerinnen und Bürger können mitteilen, wo es ihnen in Berlin zu laut ist und welche Maßnahmen Abhilfe schaffen könnten. Auf dieser Basis erarbeitet die Stadt Maßnahmen, wie Berlin leiser werden kann. ·
https://leises.berlin.de/informationen/wo-ist-es-laut-berlin
Berlin wird leiser: aktiv gegen Verkehrslärm. - Die Senatsverwaltung für Stadtentwicklung und Umwelt Berlin will ihre Bürger an der Erarbeitung des Lärmaktionsplans beteiligen. Alle Bürgerinnen und Bürger können mitteilen, wo es ihnen in Berlin zu laut ist und welche Maßnahmen Abhilfe schaffen könnten. Auf dieser Basis erarbeitet die Stadt Maßnahmen, wie Berlin leiser werden kann. ·
https://leises.berlin.de/informationen/wo-ist-es-laut-berlin
The files below contain XML (and only XML) for all the articles in the PMC open access subset. These files were created for users who need PMC XML for data mining and processing purposes, but do not need PDFs, images, or supplementary data. ·
http://www.ncbi.nlm.nih.gov/pmc/tools/ftp/#XML_for_Data_Mining
The files below contain XML (and only XML) for all the articles in the PMC open access subset. These files were created for users who need PMC XML for data mining and processing purposes, but do not need PDFs, images, or supplementary data. ·
http://www.ncbi.nlm.nih.gov/pmc/tools/ftp/#XML_for_Data_Mining
To help researchers investigate relation extraction, we’re releasing a human-judged dataset of two relations about public figures on Wikipedia: nearly 10,000 examples of “place of birth”, and over 40,000 examples of “attended or graduated from an institution”. Each of these was judged by at least 5 raters, and can be used to train or evaluate relation extraction systems. We also plan to release more relations of new types in the coming months. ·
http://googleresearch.blogspot.de/2013/04/50000-lessons-on-how-to-read-relation.html#!/2013/04/50000-lessons-on-how-to-read-relation.html
To help researchers investigate relation extraction, we’re releasing a human-judged dataset of two relations about public figures on Wikipedia: nearly 10,000 examples of “place of birth”, and over 40,000 examples of “attended or graduated from an institution”. Each of these was judged by at least 5 raters, and can be used to train or evaluate relation extraction systems. We also plan to release more relations of new types in the coming months. ·
http://googleresearch.blogspot.de/2013/04/50000-lessons-on-how-to-read-relation.html#!/2013/04/50000-lessons-on-how-to-read-relation.html
To help researchers investigate relation extraction, we’re releasing a human-judged dataset of two relations about public figures on Wikipedia: nearly 10,000 examples of “place of birth”, and over 40,000 examples of “attended or graduated from an institution”. Each of these was judged by at least 5 raters, and can be used to train or evaluate relation extraction systems. We also plan to release more relations of new types in the coming months. ·
http://googleresearch.blogspot.de/2013/04/50000-lessons-on-how-to-read-relation.html#!/2013/04/50000-lessons-on-how-to-read-relation.html
To help researchers investigate relation extraction, we’re releasing a human-judged dataset of two relations about public figures on Wikipedia: nearly 10,000 examples of “place of birth”, and over 40,000 examples of “attended or graduated from an institution”. Each of these was judged by at least 5 raters, and can be used to train or evaluate relation extraction systems. We also plan to release more relations of new types in the coming months. ·
http://googleresearch.blogspot.de/2013/04/50000-lessons-on-how-to-read-relation.html#!/2013/04/50000-lessons-on-how-to-read-relation.html
Jacob O. Wobbrock, Andrew D. Wilson, and Yang Li. Proceedings of the 20th annual ACM symposium on User interface software and technology, page 159--168. New York, NY, USA, ACM, (2007)
Jacob O. Wobbrock, Andrew D. Wilson, and Yang Li. Proceedings of the 20th annual ACM symposium on User interface software and technology, page 159--168. New York, NY, USA, ACM, (2007)
Tie Y. Liu, Jun Xu, Tao Qin, Wenying Xiong, and Hang Li. SIGIR '07: Proceedings of the Learning to Rank workshop in the 30th annual international ACM SIGIR conference on Research and development in information retrieval, (2007)
Tie Y. Liu, Jun Xu, Tao Qin, Wenying Xiong, and Hang Li. SIGIR '07: Proceedings of the Learning to Rank workshop in the 30th annual international ACM SIGIR conference on Research and development in information retrieval, (2007)
S. Petrovic, M. Osborne, and V. Lavrenko. Proceedings of the NAACL HLT Workshop on Computational Linguistics in a World of Social Media, page 25--26. (2010)
S. Petrovic, M. Osborne, and V. Lavrenko. Proceedings of the NAACL HLT Workshop on Computational Linguistics in a World of Social Media, page 25--26. (2010)
Jaap Kamps, Shlomo Geva, Andrew Trotman, Alan Woodley, and Marijn Koolen. Advances in Focused Retrieval: 7th International Workshop of the Initiative for the Evaluation of XML Retrieval INEX 2008, volume 5631 of LNCS, page 1--28. Springer Verlag, Berlin, Heidelberg, (2009)
Jaap Kamps, Shlomo Geva, Andrew Trotman, Alan Woodley, and Marijn Koolen. Advances in Focused Retrieval: 7th International Workshop of the Initiative for the Evaluation of XML Retrieval INEX 2008, volume 5631 of LNCS, page 1--28. Springer Verlag, Berlin, Heidelberg, (2009)