Natural Language Processing

September/October 2015

IEEE Intelligent Systems magazine cover

Much of the world's knowledge is recorded in natural language text, but making effective use of it in this form poses a major challenge. Information extraction converts this knowledge to a structured form suitable for computer manipulation, opening up many possibilities for using it. In this review, the author describes the processing pipeline of information extraction, how the pipeline components are trained, and how this training can be made more efficient. He also describes some of the challenges that must be addressed for information extraction to become a more widely used technology. More (login required) »

About IEEE Intelligent Systems

IEEE Intelligent Systems' peer-reviewed, cutting-edge articles cover the theory and application of systems that perceive, reason, learn, and act intelligently. It serves many different professionals in a broad range of fields.

Articles from IEEE Intelligent Systems

Saving Rhinos with Predictive Analytics

Saving Rhinos with Predictive Analytics

This article, the first entry in the new Predictive Analytics column, looks at the problem of animal poaching. The authors’ Anti-Poaching Engine system builds on behavior models of both rhinos and poachers to protect as many animals as possible. Read full article »

Precision Farming: Sensor Analytics

Precision Farming: Sensor Analytics

Wireless sensor networks are being built with increasing degrees of functionality - now performing data analytics in addition to monitoring and collecting data. Read full article »


Call for Nominations — AI's 10 To Watch

AI's 10 to Watch

IEEE Intelligent Systems will once again be selecting 10 young AI scientists to feature as "AI's 10 to Watch" in an upcoming issue. See 2013's Class »

To submit nominations, please email IEEE Intelligent Systems' Editor in Chief, Daniel Zeng, with the names, affiliations, and web page URLs of the nominated candidates, along with a short paragraph explaining why they should be considered young stars in the field. The nominees must have received their Ph.D. degrees in the past five years (Jan. 2010–Dec. 2014). Nominations are due by March 25, 2015.