This dataset is released by Signal Media to facilitate conducting research on news articles. It can be used for submissions to the NewsIR'16 workshop, but it is intended to serve the community for research on news retrieval in general.
The articles of the dataset were originally collected by Moreover Technologies (one of Signal's content providers) from a variety of news sources for a period of 1 month (1-30 September 2015). It contains 1 million articles that are mainly English, but they also include non-English and multi-lingual articles. Sources of these articles include major ones, such as Reuters, in addition to local news sources and blogs.
Kassel. Jeder zweite Deutsche fühlt sich durch Straßenverkehrslärm belästigt, jeder fünfte leidet stark darunter. Geräusche werden jedoch unterschiedlich stark wahrgenommen. Zwei Forscher möchten deshalb mehr über subjektives
The news ontology is comprised of several ontologies, which describe assets (text, images, video) and the events and entities (people, places, organisations, abstract concepts etc.) that appear in news content.
BibSonomy provides an API (Application Programming Interface) which other software programs can use to access the services and resources provided by BibSonomy. It is build on the REST (Representational State Transfer) architecture style and enables programs to post data (for example creating a new user), read data (for example getting the publications or tags of a user), updating or deleting data (for example one's own entries).
Recently, a new parameter for reading a user's tags was added. The parameter enables an alphabetical or frequency-based ordering of tags.
MemeTracker builds maps of the daily news cycle by analyzing around 900,000 news stories and blog posts per day from 1 million online sources, ranging from mass media to personal blogs.
We track the quotes and phrases that appear most frequently over time across this entire spectrum. This makes it possible to see how different stories compete for news and blog coverage each day, and how certain stories persist while others fade quickly.
The plot above shows the frequency of the top 50 quotes in the news and blogs over time, during the U.S. presidential election. For more read our paper:
J. Leskovec, L. Backstrom, J. Kleinberg. Meme-tracking and the Dynamics of the News Cycle. ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, 2009.
S. Heil, K. Kopp, A. Zehe, K. Kobs, and A. Hotho. Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), page 1190--1195. Seattle, United States, Association for Computational Linguistics, (July 2022)
D. Wangsadirdja, F. Heinickel, S. Trapp, A. Zehe, K. Kobs, and A. Hotho. Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), page 1235--1243. Seattle, United States, Association for Computational Linguistics, (July 2022)
A. Spitz, J. Strötgen, and M. Gertz. Companion Proceedings of the The Web Conference 2018, page 1731--1736. Republic and Canton of Geneva, Switzerland, International World Wide Web Conferences Steering Committee, (2018)
M. Tambuscio, G. Ruffo, A. Flammini, and F. Menczer. Proceedings of the 24th International Conference on World Wide Web, page 977--982. New York, NY, USA, ACM, (2015)
M. Tsagkias, M. de Rijke, and W. Weerkamp. Proceedings of the Fourth ACM International Conference on Web Search and Data Mining, page 565--574. New York, NY, USA, ACM, (2011)
H. Kwak, C. Lee, H. Park, and S. Moon. Proceedings of the 19th international conference on World wide web, page 591--600. New York, NY, USA, ACM, (2010)
E. Garbin, and I. Mani. Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing, page 363--370. Stroudsburg, PA, USA, Association for Computational Linguistics, (2005)
J. Leskovec, L. Backstrom, and J. Kleinberg. KDD '09: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, page 497--506. New York, NY, USA, ACM, (2009)