A Sensuous Association Method Using an Association Mechanism for Natural Machine Conversation

Tsuchiya, Seiji; Watabe, Hirokazu; Kawaoka, Tsukasa

doi:10.1007/11892960_120

Cited by 4 publications

(2 citation statements)

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“…The Concept Association Mechanism defines the common meanings related to words, while the Commonsense Judgment mechanism defines the commonsense related to words. Please refer to references for the detail a concept base [2], a degree of association [2] and the common sense judgment system [8,10]. This section explains these outlines.…”

Section: Association Judgment Mechanismmentioning

confidence: 99%

“…In this section, among the various factors, we focus on location and physical sense. A sensory judgment system [10] obtains a physical sense that humans can recollect and characterize using common sense. A sensory judgment system clarifies the relationship between a noun (e.g., apple) and the "physical sense" that characterizes it through the construction of a knowledge base of everyday nouns from the sensory judgment knowledge base (e.g., red), and extracts the necessary sensory words.…”

Section: Commonsense Judgment Mechanismmentioning

confidence: 99%

See 1 more Smart Citation

Association response by understanding commonsense in conversation system

Yoshimura

Tsuchiya

Watabe

et al. 2010

Journal of Intelligent &Amp; Fuzzy Systems

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This paper proposes one of a response production method on chatting system automatically. Our approach is applied to Japanese language. This is not necessary that it achieve a task. The responses support our conversation flow and let us produce a new topic. The system will get much information for the speaker by performing much conversation with this system. Based on the much information by a conversation with the system, the flexible reply for a speaker will come to be possible. In the present paper, we propose a response by association of the input sentence. For example, we associate "medical treatment" with "hospital". We reply then using the association word. If, like humans, a machine can reply using the association word, it will return various flexible responses.

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Section: Association Judgment Mechanismmentioning

confidence: 99%

Section: Commonsense Judgment Mechanismmentioning

confidence: 99%