upload hub_repos/bionlp_st_2011_rel/README.md to hub from bigbio repo

README.md

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+
+---
+language: 
+- en
+license: other
+license_bigbio_shortname: GENIA_PROJECT_LICENSE
+pretty_name: BioNLP 2011 REL
+---
+
+
+# Dataset Card for BioNLP 2011 REL
+
+## Dataset Description
+
+- **Homepage:** https://github.com/openbiocorpora/bionlp-st-2011-rel
+- **Pubmed:** True
+- **Public:** True
+- **Tasks:** Named Entity Recognition, Relation Extraction, Coreference Resolution
+
+
+The Entity Relations (REL) task is a supporting task of the BioNLP Shared Task 2011.
+The task concerns the extraction of two types of part-of relations between a
+gene/protein and an associated entity.
+
+
+
+## Citation Information
+
+```
+@inproceedings{10.5555/2107691.2107703,
+author = {Pyysalo, Sampo and Ohta, Tomoko and Tsujii, Jun'ichi},
+title = {Overview of the Entity Relations (REL) Supporting Task of BioNLP Shared Task 2011},
+year = {2011},
+isbn = {9781937284091},
+publisher = {Association for Computational Linguistics},
+address = {USA},
+abstract = {This paper presents the Entity Relations (REL) task,
+a supporting task of the BioNLP Shared Task 2011. The task concerns
+the extraction of two types of part-of relations between a gene/protein
+and an associated entity. Four teams submitted final results for
+the REL task, with the highest-performing system achieving 57.7%
+F-score. While experiments suggest use of the data can help improve
+event extraction performance, the task data has so far received only
+limited use in support of event extraction. The REL task continues
+as an open challenge, with all resources available from the shared
+task website.},
+booktitle = {Proceedings of the BioNLP Shared Task 2011 Workshop},
+pages = {83–88},
+numpages = {6},
+location = {Portland, Oregon},
+series = {BioNLP Shared Task '11}
+}
+
+```