@inproceedings{c03cfed25afc4a25be751a6eff0e45e4,
title = "Knowledge representation for context and sentiment analysis",
abstract = "This paper presents a knowledge representation framework for natural language understanding. Here we propose an automated knowledge acquisition mechanism that mirrors information extraction in human-human interaction. This framework utilizes knowledge based automatic role labeling and automatic concept learning together with a conceptual structure that captures intent and context. The resulting framework is to be used to improve the agent's ability to engage in social interaction with humans.",
keywords = "anthropomorphic agents, knowledge representation, natural language processing, semantic roles, sentiment analysis, social context",
author = "Ireti Fakinlede and Vive Kumar and Dunwei Wen",
year = "2013",
doi = "10.1109/ICALT.2013.158",
language = "English",
isbn = "9780769550091",
series = "Proceedings - 2013 IEEE 13th International Conference on Advanced Learning Technologies, ICALT 2013",
pages = "493--494",
booktitle = "Proceedings - 2013 IEEE 13th International Conference on Advanced Learning Technologies, ICALT 2013",
note = "2013 IEEE 13th International Conference on Advanced Learning Technologies, ICALT 2013 ; Conference date: 15-07-2013 Through 18-07-2013",
}