Baidu Online Network Technology (beijing) Co., Ltd.

Other

Boe Technology Group Co., Ltd.

Beijing Youzhuju Network Technology Co., Ltd.

Mianyang Boe Optoelectronics Technology Co., Ltd.

Yue Feng

Ping Li

Mingming Sun

Haifeng Wang

Miao Fan

Xin Wang

Yang Wang

Hang Li

Yan Zhao

Jingyuan Zhang

Chao Feng

Qinglin Ma

Gang Qiao

Lubiao Sun

Shuaimin Jian

Kefeng Meng

Qiaofei Wang

A dialog understanding method and apparatus, a readable medium, and an electronic device. The method comprises: acquires dialog content and a preset dialog parsing template, the preset dialog parsing template comprising preset description and at least one c or at least one slot, where in the description information is used for describing a paraphrase of each candidate intention when the preset dialog parsing template comprises at least one candidate intention, and describes a paraphrase of each slot when the preset dialog parsing template at least one comprises slot; and uses the dialog content and the dialog parsing template as inputs of a pre-trained target dialog understanding model to obtain a dialog state corresponding to the dialog content.

Dialogue understanding method, apparatus, readable medium and electronic device

A display substrate has a display area, an opening area and an isolation area located between the display area and the opening area and surrounding the opening area, and the display area is disposed at least partially around the opening area. The display substrate includes a flexible base having a via hole located in the opening area. The flexible base includes an amorphous silicon layer. The amorphous silicon layer includes a first portion located in the isolation area and a second portion located in the display area, and a thickness of the first portion is greater than a thickness of the second portion.

Display substrate and method of manufacturing the same

Embodiments of the present disclosure provide a method, an apparatus, a device and a storage medium for evaluating quality of an answer. The method includes extracting a question feature expression of a question and an answer feature expression of an answer with respect to the question, the question and the answer being represented in a form of text; determining a measurement of textual quality of the answer based on the answer feature expression; determining a measurement of correlation on semantics between the question and the answer based on the question feature expression and the answer feature expression; and determining a quality score of the answer with respect the question based on the measurement of textual quality and the measurement of correlations. Therefore, a high-quality answer may be accurately obtained.

Method, apparatus, device and storage medium for evaluating quality of answer

According to an exemplary embodiment of the present disclosure, a method, apparatus for evaluating a review, a device and a computer readable storage medium are provided. The method for evaluating a review includes obtaining a first vectorized representation of a set of text items in a review for a target object. The method further includes extracting a semantic feature of at least two consecutive text items of the set of text items based on the first vectorized representation. The method further includes determining a degree of importance of the at least two consecutive text items in a context of the review, and determining a degree of the review helping a user to evaluate the target object, based on the degree of importance and the semantic feature. In this way, an automatic, efficient, and accurate evaluation of the value of a review may be achieved.

Method, apparatus for evaluating review, device and storage medium

The application provides a character correction method and apparatus, a device, and a storage medium, where the method including: obtaining position information of a click operation of a user on a terminal screen, and obtaining feature information of the click operation; determining distance information between the position information and each key on the terminal screen; determining transition probability information from a character indicated by a history click operation to a character corresponding to each key; determining a character prediction result according to the feature information, the distance information and the transition probability information, where the character prediction result comprises a probability score that the character indicated by the click operation belongs to the character corresponding to each key; and determining the character with a highest probability score as a correction character corresponding to the click operation.

Character correction method and apparatus, device, and storage medium

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Beijing, China

Yue Feng