In a new approach to large-scale extraction of facts from unstructured text, distributional similarities become an integral part of both the iterative acquisition of high-coverage...
Marius Pasca, Dekang Lin, Jeffrey Bigham, Andrei L...
We present an experimental framework for Entity Mention Detection in which two different classifiers are combined to exploit Data Redundancy attained through the annotation of a l...
Named entity recognition aims at extracting named entities from unstructured text. A recent trend of named entity recognition is finding approximate matches in the text with respe...
Wei Wang 0011, Chuan Xiao, Xuemin Lin, Chengqi Zha...
Current search engines do not support user searches for chemical entities (chemical names and formulae) beyond simple keyword searches. Usually a chemical molecule can be represen...
Background: The development of text mining systems that annotate biological entities with their properties using scientific literature is an important recent research topic. These...