Beijing Baidu Netcom Science and Technology Co., Ltd.

Beijing Baidu Netcom Science Technology Co., Ltd

Yingzhan Lin

Chao Zhou

Yin Zhang

Guang Ling

Yichuan Liang

Wenmin Wang

Zeying Xie

Wei Xu

Fan Wang

Shuqi Sun

Shiwei Huang

Siqi Bao

Xin Tian

Huang He

Liankai Huang

A method for generating a dialogue state includes: acquiring a target dialogue state of a previous round of dialogue and dialogue information of a current round of dialogue; generating an initial dialogue state of the current round of dialogue according to the target dialogue state of the previous round of dialogue and the dialogue information of the current round of dialogue; and generating a target dialogue state of the current round of dialogue according to the initial dialogue state of the current round of dialogue and the dialogue information of the current round of dialogue.

Method and apparatus for generating dialogue state

A human-machine interaction method and apparatus based on artificial intelligence. In the method, a user-entered interaction sentence is received, and whether to generate an interaction result corresponding to the interaction sentence is determined; and interaction information to be presented to the user is determined based on a determining result, the interaction information including at least one of following items: the generated interaction result corresponding to the interaction sentence, or a search result corresponding to the interaction sentence in a search engine.

Human-machine interaction method and apparatus based on artificial intelligence

Embodiments of the present disclosure disclose an artificial intelligence based method and apparatus for classifying a voice-recognized text. A specific embodiment of the method includes: acquiring a current interactive text of a voice query from a user; analyzing the current interactive text using a lexical analyzer to obtain a current lexical structure; determining whether the current lexical structure matches a template of a category in a classifier; and classifying, if the current lexical structure matches the template of the category in the classifier, the current interactive text corresponding to the current lexical structure into the category belonging to the matched template. The embodiment can fast classify texts, effectively reduce the magnitude of manually annotated texts, and improve the annotation efficiency in intelligent voice interaction services.

Artificial intelligence based method and apparatus for classifying voice-recognized text

Growing community of inventors

Beijing, China

Yingzhan Lin