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活动简介

The SAC2018 special track on Cognitive Computing aims to promote a forum for scientists, engineers and practitioners, in academia and industry, to share and discuss latest advances, breakthrough results, and real-world experiences in the Cognitive Computing area. This is an interdisciplinary emerging research area, at the core of Artificial Intelligence, investigating the development of self-learning systems, that naturally interact with humans in complex environments, and are capable to adapt to context and changes in language and meaning. Original and unpublished papers dealing with all facets of the Cognitive Computing area --- such as Natural Language Processing, Knowledge Representation and Reasoning, Audio and Video Analysis, Computer-Human Interaction, Neuroscience and Cognition --- are invited. 

征稿信息

重要日期

2017-09-15
摘要截稿日期
2017-11-25
终稿截稿日期

征稿范围

Cognitive Knowledge Acquisition

  • Frameworks for acquiring Cognitive Knowledge

  • Tools and Methodologies for Cognitive Knowledge acquisition

  • Natural Language Processing for Cognitive Knowledge acquisition

  • Sentiment Analysis and Opinion Mining

  • Linguistic Resources and Cognitive Knowledge Acquisition

  • Machine Learning techniques (e.g., Deep Learning) for Cognitive Knowledge acquisition

  • Acquisition from media other than text (e.g., audio, video, images)

  • Linked Data and Cognitive Knowledge Acquisition

  • Emerging approaches for Cognitive Knowledge acquisition (e.g., crowd-based approaches).

  • Principled evaluation of acquired Cognitive Knowledge

Representing, Formalizing and Reasoning with Cognitive Knowledge

  • Ontologies for Cognitive Systems

  • Representation languages for Cognitive Knowledge

  • Reasoning about Cognitive Knowledge

Development of Cognitive Systems

  • Architectures for Cognitive Systems

  • Scalability of Cognitive Systems

  • Complex Cognitive Systems

  • Fuzzy Cognitive Systems

Applications

  • Real-world applications that exploit Cognitive Knowledge

  • Cognitive Systems for Big Data scenarios

  • Cognitive Techniques for Deep Learning

  • Cognitive Techniques for Persuasion and Recommender SystemCognitive Robotics

  • Cognitive Techniques for Information Retrieval

  • Deployment of Cognitive Systems in specific domains. For example:

  • Digital Humanities and Social Sciences

  • eGovernment and public administration

  • Life sciences, health and medicine

  • Social Media, News, and Data Streams

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重要日期
  • 会议日期

    04月09日

    2018

    04月18日

    2018

  • 09月15日 2017

    摘要截稿日期

  • 11月25日 2017

    终稿截稿日期

  • 04月18日 2018

    注册截止日期

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