Abstract: Provided are a method for early warning of a failure, an electronic device, and a non-transitory computer-readable storage medium. The implementation scheme includes that: a target device is inspected in a current inspection period to obtain a current value of a target device parameter; a new value of the target device parameter in a new inspection period is predicted according to historical inspection records of the target device in historical inspection periods and the current value of the target device parameter; and early warning of a failure is performed according to a preset early warning rule and the new value of the target device parameter.

Abstract: A method for knowledge answering includes: receiving a user question entered by a client, and obtaining a target insurance rule matching the user question from a plurality of insurance rules; searching for an answer in an insurance knowledge graph based on the target insurance rule, in which the insurance knowledge graph is generated based on the plurality of insurance rules; and returning the answer to the client.

Abstract: The present disclosure provides a text checking method based on a knowledge graph, an electronic device and a medium. The method includes: obtaining a text of a contract to be checked; establishing a knowledge graph according to the text of the contract to be checked, the knowledge graph including a plurality of attributes and a plurality of attribute values corresponding to the plurality of attributes; and checking the text of the contract to be checked based on the knowledge graph.

Abstract: Provided are a training method and apparatus for a fault recognition model, a fault recognition method and apparatus, an electronic device, and a medium. A training method for a fault recognition model includes: obtaining a first fault data set; generating a first sample set based on the first fault data set, where each sample in the first sample set includes a fault description text, a corresponding faulty part, and a corresponding fault type; and adjusting parameters of a fault recognition model by using the fault description text of the sample in the first sample set as an input to the fault recognition model, such that the fault recognition model outputs a first label and a second label, where the first label is the faulty part corresponding to the input fault description text, and the second label is the fault type corresponding to the faulty part.

Abstract: Embodiments disclose a method and apparatus for updating subject name information of a target information source. A specific embodiment of the method includes: acquiring at least one subject name from to-be-processed information; matching, for a subject name in the at least one subject name, the subject name with pre-acquired at least one initial information source subject name, and setting a weight for the subject name based on a matching result; and sorting the subject name in the at least one subject name and an initial information source subject name in the at least one initial information source subject name according to the weight to obtain updated at least one initial information source subject name.

Abstract: Embodiments of the present disclosure provide a method and an apparatus for identifying a key phrase in audio, a device and a computer readable storage medium. The method for identifying a key phrase in audio includes obtaining audio data to be identified. The method further includes identifying the key phrase in the audio data using a trained key phrase identification model. The key phrase identification model is trained based on first training data for identifying feature information of words in a first training text and second training data for identifying the key phrase in a second training text. In this way, embodiments of the present disclosure can accurately and efficiently identify key information in the audio data.

Abstract: A text prediction method includes: obtaining at least two sentences by segmenting a text to be predicted; obtaining at least one sentence set by grouping the at least two sentences based on a number of Central Processing Unit (CPU) cores in a target device, in which the target device is a device configured to perform a prediction operation; assigning each sentence set to a corresponding CPU core of the target device, and predicting each sentence set sentence by sentence through the corresponding CPU core to obtain a prediction result of each sentence set; and determining a prediction result of the text to be predicted based on the prediction result of each sentence set.

Abstract: Embodiments of the present disclosure relate to a method and apparatus for determining description information, an electronic device and a computer readable storage medium. The method includes: determining a feature representation of received query information. The method further includes determining an element representation matching the feature representation in an event element library, the element representation being generated on the basis of an event recorded in a knowledge base. In addition, the method further includes: acquiring description information of an event corresponding to the matching element representation from the knowledge base; and determining description information corresponding to the query information on the basis of the acquired description information.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for updating information. A specific embodiment of the method includes: acquiring at least one subject name entry from to-be-processed information; matching, for a subject name entry in the at least one subject name entry, the subject name entry with pre-acquired at least one initial information source subject name entry, and setting a weight for the subject name entry based on a matching result; and sorting the subject name entry in the at least one subject name entry and an initial information source subject name entry in the at least one initial information source subject name entry according to the weight to obtain updated at least one initial information source subject name entry. This embodiment improves the accuracy and efficiency of acquiring information by a user.

Abstract: Embodiments of the present disclosure provide a method and an apparatus for identifying a key phrase in audio, a device and a computer readable storage medium. The method for identifying a key phrase in audio includes obtaining audio data to be identified. The method further includes identifying the key phrase in the audio data using a trained key phrase identification model. The key phrase identification model is trained based on first training data for identifying feature information of words in a first training text and second training data for identifying the key phrase in a second training text. In this way, embodiments of the present disclosure can accurately and efficiently identify key information in the audio data.

Abstract: Our invention CHARM for preventing children from being left behind in a car has the potential to dramatically reduce the number of heat stroke deaths. The invention leverages emerging high technologies (such as sensors for accelerometer and temperature, Arduino microcontroller) and a circuit board in connection with car monitor and control system (such as panic alarm and door system) to detect if a child is left behind in a car and send out an alarm.