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IESNLP 2014 : Intelligent and Evolutionary Systems for Natural Language Processing


When Nov 10, 2014 - Nov 12, 2014
Where Singapore
Submission Deadline Aug 1, 2014
Notification Due Sep 1, 2014
Final Version Due Oct 1, 2014
Categories    NLP   information retrieval

Call For Papers

Apologies for cross-posting,

Submissions are invited for a special session on "Intelligent and Evolutionary
Systems for Natural Language Processing" of the 18th Asia Pacific Symposium on
Intelligent and Evolutionary Systems (IES'14), to be held from 10th to 12th
November 2014 in Singapore.

As the Web rapidly evolves, Web users and Web contents are evolving with it. In
an era of social connectedness, people are becoming increasingly enthusiastic
about interacting, sharing, and collaborating through social networks, online
communities, blogs, Wikis, and other online collaborative media. In recent
years, this collective intelligence has spread to many different areas, with
particular focus on fields related to everyday life such as commerce, tourism,
education, and health, causing the size of the Web to expand exponentially. The
distillation of knowledge from such a large amount of unstructured information,
however, is an extremely difficult task, as the contents of today's Web are
perfectly suitable for human consumption, but remain hardly accessible to

To this end, biologically and linguistically motivated computational paradigms
that go beyond syntax are needed. Intelligent and evolutionary systems
potentially have a large future possibility to play an important role in natural
language processing (NLP) research for tasks such as grammatical evolution,
knowledge discovery, and rule learning. In this light, this Special Session
focuses on the introduction, presentation, and discussion of novel NLP systems
that are not merely based on domain-dependent corpora or word co-occurrence
counts, but rather systems that can be considered intelligent and evolutionary.
The main motivation for the Special Session, in particular, is to go beyond a
mere word-level analysis of text and provide novel concept-level approaches to
natural language processing that allow a more efficient passage from
(unstructured) textual information to (structured) machine-processable data, in
potentially any domain.

Articles are thus invited in areas such as AI, Semantic Web, knowledge-based
systems, machine learning, and computational intelligence for NLP research.
Topics include, but are not limited to:
- Intelligent and evolutionary systems for information extraction and retrieval
- Intelligent and evolutionary systems for text summarization and visualization
- Intelligent and evolutionary systems for topic modeling
- Intelligent and evolutionary systems for sentiment analysis
- Intelligent and evolutionary systems for knowledge acquisition
- Intelligent and evolutionary systems for social network analysis
- Intelligent and evolutionary systems for adaptive and transfer learning
- Intelligent and evolutionary systems for agents and complex systems
- Intelligent and evolutionary systems for evolutionary game theory
- Intelligent and evolutionary systems for bioinformatics

The Special Session also welcomes papers on specific application domains of
natural language procesing, e.g., social data mining, influence networks,
customer experience management, computer mediated human-human communication,
social media marketing, multimedia management, personalization and persuasion,
enterprise feedback management, human-agent, -computer and -robot interaction,
intelligent user interfaces, patient opinion mining, surveillance, art. The
authors will be required to follow the Author's Guide for manuscript submission
to the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems

Submission Deadline: August 1st, 2014
Notification of Acceptance: September 1st, 2014
Final Manuscripts Due: October 1st, 2014
Session dates: November 10-12th, 2014

Erik Cambria, Nanyang Technological University, Singapore
Amir Hussain, University of Stirling, UK
Yunqing Xia, Tsinghua University, China

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