CINLP @ IEEE CIM


The IEEE Computational Intelligence Magazine special issue on Computational Intelligence for Natural Language Processing was published in February 2014.

Computational Intelligence for Natural Language Processing

RATIONALE
Between the birth of the Internet and year 2003, there were just a few dozen exabytes of information on the Web. Today, that same amount of information is created weekly. The advent of the Social Web has provided people with new content-sharing services that allow them to create and share their own contents, ideas, and opinions, in a time- and cost-efficient way, with virtually millions of other people connected to the World Wide Web . This huge amount of useful information, however, is mainly unstructured (because it is specifically produced for human consumption) and hence not directly machine-processable.

The automatic analysis of text in an accurate manner involves a deep understanding of natural language by machines, a reality from which we are still very far off. Hitherto, online information retrieval, aggregation, and processing have mainly been based on algorithms relying on the textual representation of webpages. Such algorithms are very good at retrieving texts, splitting them into parts, checking the spelling and counting the number of words. But when it comes to interpreting sentences and extracting meaningful information, their capabilities are known to be very limited.

TOPICS
Articles are thus invited in area of computational intelligence for natural language processing and understanding. The broader context of the Special Issue comprehends artificial intelligence, knowledge representation and reasoning, data mining, artificial neural networks, evolutionary computation, and fuzzy logic. Topics include, but are not limited to:
• Computational intelligence for concept-level sentiment analysis
• Computational intelligence for social media retrieval and aggregation
• Computational intelligence for social media marketing
• Computational intelligence for multimodal sentiment analysis
• Computational intelligence for time-evolving sentiment tracking
• Computational intelligence for cognitive agent-based computing
• Computational intelligence for human-agent and -robot interaction
• Computational intelligence for user profiling and personalization
• Computational intelligence for knowledge acquisition

TIMEFRAME
August 4th, 2013: Paper submission deadline
September 8th, 2013: Notification of acceptance
October 1st, 2013: Final manuscript due
February, 2014: Publication

SUBMISSION AND PROCEEDINGS
The maximum length for the manuscript is typically 25 pages in single column with double-spacing, including figures and references. Authors of papers should specify in the first page of their manuscripts corresponding author’s contact and up to 5 keywords. Submission should be made via email to one of the guest editors below.

ORGANIZERS
• Erik Cambria, National University of Singapore (Singapore)
• Bebo White, Stanford University (USA)
• Tariq S. Durrani, Royal Society of Edinburgh (UK)
• Newton Howard, MIT Media Laboratory (USA)