metadata

language:
  - en
bigbio_language:
  - English
license: unknown
multilinguality: monolingual
bigbio_license_shortname: UNKNOWN
pretty_name: Bio-SimLex
homepage: https://github.com/cambridgeltl/bio-simverb
bigbio_pubmed: true
bigbio_public: true
bigbio_tasks:
  - SEMANTIC_SIMILARITY

Dataset Card for Bio-SimLex

Dataset Description

Homepage: https://github.com/cambridgeltl/bio-simverb
Pubmed: True
Public: True
Tasks: STS

Bio-SimLex enables intrinsic evaluation of word representations. This evaluation can serve as a predictor of performance on various downstream tasks in the biomedical domain. The results on Bio-SimLex using standard word representation models highlight the importance of developing dedicated evaluation resources for NLP in biomedicine for particular word classes (e.g. verbs).

Citation Information

@article{article,
  title        = {
    Bio-SimVerb and Bio-SimLex: Wide-coverage evaluation sets of word
    similarity in biomedicine
  },
  author       = {Chiu, Billy and Pyysalo, Sampo and Vulić, Ivan and Korhonen, Anna},
  year         = 2018,
  month        = {02},
  journal      = {BMC Bioinformatics},
  volume       = 19,
  pages        = {},
  doi          = {10.1186/s12859-018-2039-z}
}