Analysis of named entity recognition and linking for tweets

@article{Derczynski2015AnalysisON,
  title={Analysis of named entity recognition and linking for tweets},
  author={Leon Derczynski and Diana Maynard and Giuseppe Rizzo and Marieke van Erp and Genevieve Gorrell and Rapha{\"e}l Troncy and Johann Petrak and Kalina Bontcheva},
  journal={Inf. Process. Manag.},
  year={2015},
  volume={51},
  pages={32-49}
}
  • Leon Derczynski, Diana Maynard, +5 authors Kalina Bontcheva
  • Published 2015
  • Computer Science
  • Inf. Process. Manag.
  • Applying natural language processing for mining and intelligent information access to tweets (a form of microblog) is a challenging, emerging research area. Unlike carefully authored news text and other longer content, tweets pose a number of new challenges, due to their short, noisy, context-dependent, and dynamic nature. Information extraction from tweets is typically performed in a pipeline, comprising consecutive stages of language identification, tokenisation, part-of-speech tagging, named… CONTINUE READING

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