RDD corpus: An annotated corpus relating disabilities and rare diseases

There is a huge amount of rare diseases, many of which have associated important disabilities. It is paramount to know in advance the evolution of the disease in order to limit and prevent the appearance of disabilities and to prepare the patient to manage the future difficulties. Rare disease associations are making an effort to manually collect this information, but it is a long process. A lot of information about the consequences of rare diseases is published in scientific papers, and could be automatically extracted from them. This is a new corpus of abstracts from scientific papers related to rare diseases, which has been manually annotated with disabilities. This corpus will allow training machine learning systems that can automatically process other papers, thus extracting new information about the relations between rare diseases and disabilities. The corpus is also annotated with negation and speculation when they appear affecting disabilities.罕见病（rare diseases）种类繁多，其中多数会伴随严重的功能障碍。提前知晓疾病的病程演变，对于限制、预防功能障碍的出现，并帮助患者做好准备以应对未来的困境至关重要。当前罕见病相关组织正致力于手动收集这类信息，但该过程耗时漫长。目前大量关于罕见病致病后果的信息刊载于学术论文中，可通过自动化手段从中提取。本数据集为全新的罕见病相关学术论文摘要语料库（corpus），已针对功能障碍完成人工标注。该语料库可用于训练机器学习系统，使其自动处理其他学术论文，进而提取罕见病与功能障碍之间关联的全新信息。当表述涉及影响功能障碍的否定或推测语境时，该语料库亦完成了对应标注。