DAYSTREAM Annotated text corpus of traffic messages

Description

The DAYSTREAM corpus is a data set of 3541 traffic reports in which proper names (e.g. roads, lines, stops), their reference IDs (e.g. DHID, DLID, OSM IDs), as well as relations (e.g. traffic jam, accident, rail replacement traffic) are manually annotated. The dataset can be used as a training or test corpus for information extraction tasks such as proper name recognition, entity linking and relation extraction. Dataset statistics:
Twitter RSS Total
docs 2825 716 3541
tokens 69188 34630 103818
entities 15280 8112 23392
relations 365 427 792
docs with annotated relations 305 338 643
linked entities (orgẓloc) 5138 3331 8469
NIL entities 4764 1698 6462
The DAYSTREAM corpus is published under the CC-BY 4.0 license. If you use this data, you should cite the following publication: A German Corpus for Fine-Grained Named Entity Recognition and Relation Extraction of Traffic and Industry Events. Martin Schiersch, Veselina Mironova, Maximilian Schmitt, Philippe Thomas, Aleksandra Gabryszak, Leonhard Hennig. Proceedings of LREC, 2018. Further information and details: https://github.com/DFKI-NLP/daystream-corpus/

Resources

Name Format Description Link
0 https://github.com/DFKI-NLP/daystream-corpus
0 https://github.com/DFKI-NLP/daystream-corpus
0 https://github.com/DFKI-NLP/daystream-corpus
0 https://github.com/DFKI-NLP/daystream-corpus
0 https://github.com/DFKI-NLP/daystream-corpus
0 https://github.com/DFKI-NLP/daystream-corpus
0 https://github.com/DFKI-NLP/daystream-corpus
0 https://github.com/DFKI-NLP/daystream-corpus
0 https://github.com/DFKI-NLP/daystream-corpus
0 https://github.com/DFKI-NLP/daystream-corpus
0 https://github.com/DFKI-NLP/daystream-corpus
0 https://github.com/DFKI-NLP/daystream-corpus
0 https://github.com/DFKI-NLP/daystream-corpus
0 https://github.com/DFKI-NLP/daystream-corpus
0 https://github.com/DFKI-NLP/daystream-corpus
0 https://github.com/DFKI-NLP/daystream-corpus
0 https://github.com/DFKI-NLP/daystream-corpus
0 https://github.com/DFKI-NLP/daystream-corpus
0 https://github.com/DFKI-NLP/daystream-corpus
0 https://github.com/DFKI-NLP/daystream-corpus
0 https://github.com/DFKI-NLP/daystream-corpus
0 https://github.com/DFKI-NLP/daystream-corpus
0 https://github.com/DFKI-NLP/daystream-corpus
0 https://github.com/DFKI-NLP/daystream-corpus

Tags

  • railway
  • mcloud_id723c0e26-2832-46c7-85cd-1e9424e56240
  • mfund-projekt-daystream-datenanalytik-und-ki-für-sichere-und-zuverlässige-mobilität
  • mfund-fkz-19f2031a-e

Topics

  • TRAN
  • TECH

Categories