| language: | |
| - en | |
| bigbio_language: | |
| - English | |
| license: unknown | |
| multilinguality: monolingual | |
| bigbio_license_shortname: UNKNOWN | |
| pretty_name: IEPA | |
| homepage: http://psb.stanford.edu/psb-online/proceedings/psb02/abstracts/p326.html | |
| bigbio_pubmed: True | |
| bigbio_public: True | |
| bigbio_tasks: | |
| - RELATION_EXTRACTION | |
| # Dataset Card for IEPA | |
| ## Dataset Description | |
| - **Homepage:** http://psb.stanford.edu/psb-online/proceedings/psb02/abstracts/p326.html | |
| - **Pubmed:** True | |
| - **Public:** True | |
| - **Tasks:** RE | |
| The IEPA benchmark PPI corpus is designed for relation extraction. It was created from 303 PubMed abstracts, each of which contains a specific pair of co-occurring chemicals. | |
| ## Citation Information | |
| ``` | |
| @ARTICLE{ding2001mining, | |
| title = "Mining {MEDLINE}: abstracts, sentences, or phrases?", | |
| author = "Ding, J and Berleant, D and Nettleton, D and Wurtele, E", | |
| journal = "Pac Symp Biocomput", | |
| pages = "326--337", | |
| year = 2002, | |
| address = "United States", | |
| language = "en" | |
| } | |
| ``` | |