Cold-Start Knowledge Base Population Using Ontology-Based Information Extraction with Conditional Random Fields

Hendrik ter Horst, Matthias Hartung, Philipp Cimiano. Cold-Start Knowledge Base Population Using Ontology-Based Information Extraction with Conditional Random Fields. In Claudia d'Amato, Martin Theobald, editors, Reasoning Web. Learning, Uncertainty, Streaming, and Scalability - 14th International Summer School 2018, Esch-sur-Alzette, Luxembourg, September 22-26, 2018, Tutorial Lectures. Volume 11078 of Lecture Notes in Computer Science, pages 78-109, Springer, 2018. [doi]

@inproceedings{HorstHC18,
  title = {Cold-Start Knowledge Base Population Using Ontology-Based Information Extraction with Conditional Random Fields},
  author = {Hendrik ter Horst and Matthias Hartung and Philipp Cimiano},
  year = {2018},
  doi = {10.1007/978-3-030-00338-8_4},
  url = {https://doi.org/10.1007/978-3-030-00338-8_4},
  researchr = {https://researchr.org/publication/HorstHC18},
  cites = {0},
  citedby = {0},
  pages = {78-109},
  booktitle = {Reasoning Web. Learning, Uncertainty, Streaming, and Scalability - 14th International Summer School 2018, Esch-sur-Alzette, Luxembourg, September 22-26, 2018, Tutorial Lectures},
  editor = {Claudia d'Amato and Martin Theobald},
  volume = {11078},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-00338-8},
}