By Topic

A new structure for news editing

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Gruhl, D. ; IBM Research Division, Almaden Research Center, 650 Harry Road, San Jose, California 95120-6099, USA ; Bender, W.

Ideally a computational approach could assist in the human-intensive tasks associated with selecting and presenting timely, relevant information, i.e., news editing. At present this goal is difficult to achieve because of the paucity of effective machine-understanding systems for news. A structure for news that affords a fluid interchange between human and machine-derived expertise is a step toward improving both the efficiency and utility of on-line news. This paper examines a system that employs richer representations of texts within a corpus of news. These representations are composed by a collection of experts who examine news articles in the database, looking at both the text itself and the annotations placed by other experts. These experts employ a variety of methods ranging from statistical examination to natural-language parsing to query expansion through specific-purpose knowledge bases. The system provides a structure for the sharing of knowledge with human editors and the development of a clas s of applications that make use of article augmentation.

Note: The Institute of Electrical and Electronics Engineers, Incorporated is distributing this Article with permission of the International Business Machines Corporation (IBM) who is the exclusive owner. The recipient of this Article may not assign, sublicense, lease, rent or otherwise transfer, reproduce, prepare derivative works, publicly display or perform, or distribute the Article.  

Published in:

IBM Systems Journal  (Volume:39 ,  Issue: 3.4 )