Neural architectures for named entity recognition and relation classi cation in biomedical and clinical texts

Neural architectures for named entity recognition and relation classi cation in biomedical and clinical texts

dc.contributor.guide	Anand, Ashish
dc.coverage.spatial	Computer Science and Engineering
dc.creator.researcher	Sahu, Sunil Kumar
dc.date.accessioned	2023-03-17T05:25:43Z
dc.date.available	2023-03-17T05:25:43Z
dc.date.awarded	2018
dc.date.completed	2018
dc.date.registered	2013
dc.description.abstract	The increasing number of biomedical and clinical texts such as research articles discharge summaries electronic health records and texts created by social network users is an immeasurable source of information The extracted information can be used for several applications e g construction of medical knowledge bases drug repurposing etc Extracting structured information from unstructured text is called information extraction IE and is considered as a higher level of natural language pro
dc.description.note	Not Available
dc.format.accompanyingmaterial	None
dc.format.dimensions	Not Available
dc.format.extent	Not Available
dc.identifier.uri	http://hdl.handle.net/10603/470474
dc.language	English
dc.publisher.institution	Department of Computer Science and Engineering
dc.publisher.place	Guwahati
dc.publisher.university	Indian Institute of Technology Guwahati
dc.relation	Not Available
dc.rights	self
dc.source.university	University
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Artificial Intelligence
dc.subject.keyword	Engineering and Technology
dc.title	Neural architectures for named entity recognition and relation classi cation in biomedical and clinical texts
dc.title.alternative	Not available
dc.type.degree	Ph.D.