In this paper we report on the collection in the context of the MIROR project of a corpus of biomedical articles for the task of automatic detection of inadequate claims (spin), which to our knowledge has never been addressed before. We present the manual annotation model and its annotation guidelines and describe the planned machine learning experiments and evaluations.
@InProceedings{KOROLEVA18.278, author = {Anna Koroleva and Patrick Paroubek}, title = "{Annotating Spin in Biomedical Scientific Publications : the case of Random Controlled Trials (RCTs)}", booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {May 7-12, 2018}, address = {Miyazaki, Japan}, editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga}, publisher = {European Language Resources Association (ELRA)}, isbn = {979-10-95546-00-9}, language = {english} }
Summary of the paper