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...
As huge quantities of documents have become available, services using natural language processing technologies trained by huge corpora have emerged, such as information retrieval ...
This paper presents a method for extracting purpose statements from clinical trial protocol summaries. Simple summarization technology based on regular expressions and natural lang...
Relation extraction is the task of finding pre-defined semantic relations between two entities or entity mentions from text. Many methods, such as feature-based and kernel-based m...
Extraction based Multi-Document Summarization Algorithms consist of choosing sentences from the documents using some weighting mechanism and combining them into a summary. In this...