Using Neural Networks for Relation Extraction from Biomedical Literature

arXiv.org Machine Learning

Using different sources of information to support automated extracting of relations between biomedical concepts contributes to the development of our understanding of biological systems. The primary comprehensive source of these relations is biomedical literature. Several relation extraction approaches have been proposed to identify relations between concepts in biomedical literature, namely using neural networks algorithms. The use of multichannel architectures composed of multiple data representations, as in deep neural networks, is leading to state-of-the-art results. The right combination of data representations can eventually lead us to even higher evaluation scores in relation extraction tasks. Thus, biomedical ontologies play a fundamental role by providing semantic and ancestry information about an entity. The incorporation of biomedical ontologies has already been proved to enhance previous state-of-the-art results.


Overview of Artificial Intelligence & Role of NLP in Big Data - XenonStack Blog

#artificialintelligence

AI refers to'Artificial Intelligence' which means making machines capable of performing quick tasks like human beings. AI performs automated tasks using intelligence. It is a set of algorithms used by intelligent systems to learn from experience. These are the advanced round of algorithms used by machines to learn from experience. Artifical Intelligence technology is currently at this stage.



Natural Language Processing Nuggets: Getting Started with NLP

#artificialintelligence

This is a collection of some of my natural language processing (NLP) posts from the past year or so. They start from zero and progress accordingly, and are suitable for individuals looking to creep toward NLP and pick up some of the basic ideas, before hopefully branching out further (see the final 2 resources listed below for more on that). Not originally intended to be in any particular order, if you are inclined to read them all, they are best approached in the order they are presented. At the intersection of computational linguistics and artificial intelligence is where we find natural language processing. Very broadly, natural language processing (NLP) is a discipline which is interested in how human languages, and, to some extent, the humans who speak them, interact with technology.