Information Retrieval and Knowledge Discovery in Biomedical Text: Papers from the AAAI Symposium
Lana Yeganova, Rezarta Islamaj Dogan, Vahan Grigoryan, Mark Dredze, Cochairs
The amount of biological and medical literature has grown exponentially within the last decade. This data may be in the form of journal citations in PubMed, in the form of clinical summaries in healthcare institutions or in the form of blogs and user comments that express personal opinions on the different healthcare topics such as drug adverse effects or disease treatments. This material, be it expressed by researchers, medical professionals or medical care receivers, is of significant importance in terms of the wealth of information that it possesses. However it is only valuable if efficient and reliable ways of accessing and analyzing that information are available. In this symposium we address the current research on computational techniques for information retrieval and knowledge discovery from biomedical and clinical texts, with a focus on machine learning or natural language processing, as well as novel applications of existing techniques to the open problems in text processing in biomedical domain.