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One Size Does Not Fit All: Finding the Optimal Subword Sizes for FastText Models across Languages ...
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EDS-MEMBED: Multi-sense embeddings based on enhanced distributional semantic structures via a graph walk over word senses ...
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Exploration of metaphor and affect sensing using semantic interpretation in an intelligent agent
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Abstract:
We developed a virtual drama improvisation platform to allow human users to be creative in their role-play with the interaction of an AI agent. Previously, the AI agent was able to detect affect from users' inputs with strong affect indicators. In this paper, we integrate context-based affect detection to enable the intelligent agent to detect affect from inputs with weak or no affect signals. Topic theme detection using latent semantic analysis is applied to such inputs to identify their discussions themes and potential target audiences. Relationships between characters are also taken into account for affect analysis. Such semantic interpretation of the dialogue contexts also proofs to be effective in the recognition of metaphorical phenomena.
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Keyword:
G400 Computer Science; Q100 Linguistics
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URL: https://doi.org/10.1007/978-3-642-32790-2_74 http://nrl.northumbria.ac.uk/id/eprint/20688/
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Did You Say What I Think You Said? - Towards a Language-Based Measurement of a Speech Recognizer's Confidence
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Project EuDML--A First Year Demonstration
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In: Intelligent Computer Mathematics ; Intelligent Computer Mathematics 18th Symposium, Calculemus 2011, and 10th International Conference, MKM 2011 ; https://hal.archives-ouvertes.fr/hal-00658076 ; Intelligent Computer Mathematics 18th Symposium, Calculemus 2011, and 10th International Conference, MKM 2011, Jul 2011, Bertinoro, Italy. pp.281-284, ⟨10.1007/978-3-642-22673-1_21⟩ (2011)
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