| language: | |
| - en | |
| license: unknown | |
| license_bigbio_shortname: UNKNOWN | |
| pretty_name: LLL05 | |
| # Dataset Card for LLL05 | |
| ## Dataset Description | |
| - **Homepage:** http://genome.jouy.inra.fr/texte/LLLchallenge | |
| - **Pubmed:** True | |
| - **Public:** True | |
| - **Tasks:** Relation Extraction | |
| The LLL05 challenge task is to learn rules to extract protein/gene interactions from biology abstracts from the Medline | |
| bibliography database. The goal of the challenge is to test the ability of the participating IE systems to identify the | |
| interactions and the gene/proteins that interact. The participants will test their IE patterns on a test set with the | |
| aim of extracting the correct agent and target.The challenge focuses on information extraction of gene interactions in | |
| Bacillus subtilis. Extracting gene interaction is the most popular event IE task in biology. Bacillus subtilis (Bs) is | |
| a model bacterium and many papers have been published on direct gene interactions involved in sporulation. The gene | |
| interactions are generally mentioned in the abstract and the full text of the paper is not needed. Extracting gene | |
| interaction means, extracting the agent (proteins) and the target (genes) of all couples of genic interactions from | |
| sentences. | |
| ## Citation Information | |
| ``` | |
| @article{article, | |
| author = {Nédellec, C.}, | |
| year = {2005}, | |
| month = {01}, | |
| pages = {}, | |
| title = {Learning Language in Logic - Genic Interaction Extraction Challenge}, | |
| journal = {Proceedings of the Learning Language in Logic 2005 Workshop at the International Conference on Machine Learning} | |
| } | |
| ``` | |