Abstract: A vibration suppression method for a servo motor and a load multistage drive system is provided. For a number N of fixed vibration frequencies and one vibration frequency varying with a load position existing in a multistage drive mechanism, a number of N+1 vibration suppression filters are adopted, and each filter is configured to eliminate a corresponding vibration frequency. Fixed vibration frequencies and a vibration frequency varying with a load position in a multistage drive system are measured by using an offline method, and the varied vibration frequencies are made into a two-dimensional table related to the load positions. The fixed vibration frequencies are eliminated by using fixed-frequency parameter vibration suppression filters; and the varied vibration frequencies are eliminated by using a variable-frequency parameter vibration suppression filter, and the vibration frequencies are obtained in real time according to the load positions and the two-dimensional table.

Abstract: The present disclosure provides an artificial intelligence-based triple checking method and apparatus, a device and a storage medium. The method comprises: generating a search query according to a triple to be checked; obtaining webpages of search result corresponding to the query; determining a confidence score of the triple according to the webpages of search result; determining whether the triple is an accurate triple according to the confidence score. The solution of the present disclosure can be employed to achieve efficient check of the triple.

Abstract: A method and apparatus for mining general text content, a server, and a storage medium, are disclosed. A specific embodiment of the method can include: acquiring a question including a target subject and a target characteristic; and inputting the target subject, the target characteristic and a target text into a pre-constructed answer prediction model, and determining a starting position and an ending position of an answer to the question in the target text by the answer prediction model. The answer prediction model is pre-trained based on a sample question including a sample subject and a sample characteristic, and a starting position and an ending position of a sample answer in a text. In the technical solution provided by the embodiments of the present disclosure, the starting position and the ending position of the answer in the target text may be correctly predicted, thereby increasing the accuracy of answer recognition.

Abstract: Embodiments of the disclosure disclose a method and apparatus for generating information. A specific embodiment of the method comprises: acquiring a historical click log, the historical click log comprising a historical search term and a clicked historical search result corresponding to the historical search term; determining whether matching clicked historical search results exist in the historical click log; establishing a synonymous relationship between historical search terms corresponding to the matching clicked historical search results, in response to determining the matching clicked historical search results existing in the historical click log; and generating a relational word list based on the established synonymous relationship. The embodiment helps to enrich the content of the relational word list, and improve the coverage of the relational word list.

Abstract: Embodiments of a method and apparatus for generating information are provided. An embodiment of the method can include: extracting search data in a preset period; determining target search statements from the search data; determining attributes of the entities in the target search statements; and clustering, for each of the entities involved in the target search statements, the target search statements including the each of the entities according to the attributes in the target search statements including the each of the entities, and determining a target attribute of the each of the entities based on a sum of a number of searches for the target search statements in each of clustered groups. The embodiment can achieve flexible information generation.

Abstract: The present disclosure provides an artificial intelligence-based triple checking method and apparatus, a device and a storage medium. The method comprises: generating a search query according to a triple to be checked; obtaining webpages of search result corresponding to the query; determining a confidence score of the triple according to the webpages of search result; determining whether the triple is an accurate triple according to the confidence score. The solution of the present disclosure can be employed to achieve efficient check of the triple.

Abstract: Embodiments of a method and apparatus for generating information are provided. An embodiment of the method can include: extracting search data in a preset period; determining target search statements from the search data; determining attributes of the entities in the target search statements; and clustering, for each of the entities involved in the target search statements, the target search statements including the each of the entities according to the attributes in the target search statements including the each of the entities, and determining a target attribute of the each of the entities based on a sum of a number of searches for the target search statements in each of clustered groups. The embodiment can achieve flexible information generation.

Abstract: A method and apparatus for mining general text content, a server, and a storage medium, are disclosed. A specific embodiment of the method can include: acquiring a question including a target subject and a target characteristic; and inputting the target subject, the target characteristic and a target text into a pre-constructed answer prediction model, and determining a starting position and an ending position of an answer to the question in the target text by the answer prediction model. The answer prediction model is pre-trained based on a sample question including a sample subject and a sample characteristic, and a starting position and an ending position of a sample answer in a text. In the technical solution provided by the embodiments of the present disclosure, the starting position and the ending position of the answer in the target text may be correctly predicted, thereby increasing the accuracy of answer recognition.

Abstract: Embodiments of the disclosure disclose a method and apparatus for generating information. A specific embodiment of the method comprises: acquiring a historical click log, the historical click log comprising a historical search term and a clicked historical search result corresponding to the historical search term; determining whether matching clicked historical search results exist in the historical click log; establishing a synonymous relationship between historical search terms corresponding to the matching clicked historical search results, in response to determining the matching clicked historical search results existing in the historical click log; and generating a relational word list based on the established synonymous relationship. The embodiment helps to enrich the content of the relational word list, and improve the coverage of the relational word list.

Abstract: An event reminding method and device as well as a mobile terminal are provided. The event reminding method includes: providing a user with information about a preset event for which the user requests a search; receiving a reminder request for the preset event from the user, the reminder request including a reminder triggering condition; and setting a reminder for the preset event; detecting whether the reminder triggering condition is met; and sending a reminder for the preset event to the user when the reminder triggering condition is met.