Shanghai Xiaoi Robot Technology Co., Ltd.

Gongzhi Yao

Bo Li

Pinpin Zhu

Yongmei Zeng

An abstract semantic recommending device, comprising an abstract semantic expression obtaining unit to obtain a plurality of abstract semantic expressions; a receiving unit to receive an initial request message; a word segmentation unit to perform a word segmentation process on the initial request message to obtain one or more single words; a part-of-speech tagging unit to perform a part-of-speech tagging process on at least one of the one or more single words to obtain its part-of-speech information; a wordclass determination unit to perform a wordclass determination process on at least one of the one or more single words to obtain its wordclass information; a searching unit to acquire an abstract semantic candidate set relevant to the initial request message; and a matching unit to derive one or more abstract semantic expressions by performing a matching process on the several abstract semantic expressions in the abstract semantic candidate set.

Methods, devices, and systems for constructing intelligent knowledge base

The present disclosure includes a device for constructing an intelligent knowledge base. The device comprises: a preset knowledge subject obtaining unit to obtain from a subject domain database preset knowledge subjects each comprising a standard question and an extended question; a receiving unit to receive an initial request message; a calculation unit to perform a semantic similarity calculation on the initial request message and the preset knowledge subjects to obtain a plurality of semantic similarity calculation results; a determination unit to determine whether a largest semantic similarity calculation result is greater than a similarity threshold value; and a storing unit to: when the largest semantic similarity calculation result is greater than the similarity threshold value, store into the intelligent knowledge base the initial request message, and a standard question and an extended question of a preset knowledge subject corresponding to the largest semantic similarity calculation result.

A device for constructing an intelligent knowledge base, comprising an abstract semantic expression obtaining unit to obtain a plurality of abstract semantic expressions from an abstract semantic database, wherein each of the plurality of abstract semantic expressions comprises a semantic-lacking element; a receiving unit to receive an initial request message; an abstract semantic recommending module to obtain abstract semantic expressions corresponding to the initial request message by performing an abstract semantic recommending process on the initial request message based on the plurality of abstract semantic expressions; a filling unit to extract from the initial request message an element corresponding to a semantic-lacking element of the obtained abstract semantic expressions, and to fill the extracted element into the semantic-lacking element to obtain specific semantic expressions corresponding to the initial request message; and a storing unit to store the initial request message and the specific semantic expressions into the intelligent knowledge base.

The present disclosure includes a method for constructing an intelligent knowledge base. The method comprises: obtaining, via an intelligent-knowledge-base constructing device, a plurality of abstract semantic expressions, wherein each of the plurality of abstract semantic expressions comprises a semantic-lacking element; receiving an initial request message from a user; acquiring, via the intelligent-knowledge-base constructing device, one or more abstract semantic expressions corresponding to the initial request message by performing an abstract semantic recommending process on the initial request message based on the plurality of abstract semantic expressions; extracting, from the initial request message, an element corresponding to the semantic-lacking element of the one or more abstract semantic expressions; filling the extracted element into the semantic-lacking element to obtain one or more specific semantic expressions corresponding to the initial request message; and storing the initial request message and the one or more specific semantic expressions into the intelligent knowledge base.

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Shanghai, China

Gongzhi Yao