Adopting Semantic Similarity for Utterance Candidates Discovery from Human-to-Human Dialogue Corpus

Roman Y. Shtykh; Mitsuharu Makita

doi:10.1007/978-3-319-33500-1_12

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Adopting Semantic Similarity for Utterance Candidates Discovery from Human-to-Human Dialogue Corpus

Roman Y. Shtykh Mitsuharu Makita

Year: 2016 Lecture notes in computer science Pages: 139-148 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-319-33500-1_12

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Keywords:

Computer science Utterance Conversation Natural language processing Artificial intelligence Chatbot Similarity (geometry) Semantic similarity Casual Coherence (philosophical gambling strategy) Word (group theory) Information retrieval Linguistics

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Topic Modeling

Physical Sciences → Computer Science → Artificial Intelligence

Speech and dialogue systems

Physical Sciences → Computer Science → Artificial Intelligence

Natural Language Processing Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Adopting Semantic Similarity for Utterance Candidates Discovery from Human-to-Human Dialogue Corpus

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