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.
We have released over a million images onto Flickr Commons for anyone to use, remix and repurpose. These images were taken from the pages of 17th, 18th and 19th century books digitised by Microsoft who then generously gifted the scanned images to us, allowing us to release them back into...
Recently we got mails from users that can not login to BibSonomy using their Google OpenID. Today we traced at least one of the cases down to a problem with Google's OpenID service.
This device can do almost anything involving almost any kind of low-(~125 kHz) or high-(~13.56 MHz) frequency RFID tag. It can act as a reader. It can eavesdrop on a transaction between another reader and a tag. It can analyze the signal received over the air more closely, for example to perform an attack in which we derive information from the tag's instantaneous power consumption. It can pretend to be a tag itself. It is also capable of some less obviously useful operations that might come in handy for development work.
M. Schwab, R. Jäschke, F. Fischer, and J. Strötgen. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, page 6239--6244. Association for Computational Linguistics, (November 2019)
M. Schwab, R. Jäschke, and F. Fischer. Proceedings of the 5th International Conference on Natural Language and Speech Processing, page 282--287. Association for Computational Linguistics, (2022)
M. Schwab, R. Jäschke, and F. Fischer. Proceedings of the 6th International Conference on Natural Language and Speech Processing, page 99--109. Association for Computational Linguistics, (2023)