---

language:

• en
• de bigbio_language:
• English
• German license: unknown multilinguality: multilingual bigbio_license_shortname: UNKNOWN pretty_name: MuchMore homepage: https://muchmore.dfki.de/resources1.htm bigbio_pubmed: True bigbio_public: True bigbio_tasks:
• TRANSLATION
• NAMED_ENTITY_RECOGNITION
• NAMED_ENTITY_DISAMBIGUATION
• RELATION_EXTRACTION

---

Dataset Card for MuchMore

Dataset Description

• Homepage: https://muchmore.dfki.de/resources1.htm
• Pubmed: True
• Public: True
• Tasks: TRANSL,NER,NED,RE

The corpus used in the MuchMore project is a parallel corpus of English-German scientific medical abstracts obtained from the Springer Link web site. The corpus consists approximately of 1 million tokens for each language. Abstracts are from 41 medical journals, each of which constitutes a relatively homogeneous medical sub-domain (e.g. Neurology, Radiology, etc.). The corpus of downloaded HTML documents is normalized in various ways, in order to produce a clean, plain text version, consisting of a title, abstract and keywords. Additionally, the corpus was aligned on the sentence level.

Automatic (!) annotation includes: Part-of-Speech; Morphology (inflection and decomposition); Chunks; Semantic Classes (UMLS: Unified Medical Language System, MeSH: Medical Subject Headings, EuroWordNet); Semantic Relations from UMLS.

Citation Information

@inproceedings{buitelaar2003multi,
  title={A multi-layered, xml-based approach to the integration of linguistic and semantic annotations},
  author={Buitelaar, Paul and Declerck, Thierry and Sacaleanu, Bogdan and Vintar, {{S}}pela and Raileanu, Diana and Crispi, Claudia},
  booktitle={Proceedings of EACL 2003 Workshop on Language Technology and the Semantic Web (NLPXML'03), Budapest, Hungary},
  year={2003}
}