Abstract: The present disclosure provides a combined vaccine against human respiratory syncytial virus (RSV) infection and a method thereof for inducing immune response. The combined vaccine includes; a first composition including an immunologically effective dosage of a replication-deficient human adenovirus type 26 vector contains a nucleotide encoding an antigenic protein of RSV and a pharmaceutically acceptable vector; and a second composition including an immunologically effective dosage of a replication-deficient chimpanzee adenovirus type 63 vector contains a nucleotide encoding an antigenic protein of RSV and a pharmaceutically acceptable vector. The first composition is a primary immunization composition and the second composition is a booster immunization composition, or vice versa. In the present disclosure, the combined vaccine is used for inducing a protective immunity against RSV infection, and a method is provided for generating the protective immunity against RSV infection.

Abstract: A method and apparatus for determining an answer to a question are provided.

Abstract: Provided are a video generation method, an electronic device, and a non-transitory computer-readable storage medium. The implementation scheme is as follows: a place path of at least two target events is planned in an electronic map according to occurrence places of the at least two target events and occurrence time of the at least two target events, where the at least two target events have a same theme; video sub-segments of the at least two target events are respectively determined to obtain at least two video sub-segments; and a target video is generated according to the at least two video sub-segments and the place path.

Abstract: A method of training an image generation model, and a method of generating an image. A specific implementation solution includes: acquiring a first image sample and a first text sample matched with the first image sample; performing an enhancement on at least one type of sample in the first image sample and the first text sample according to a predetermined knowledge graph, so as to obtain at least one type of sample in a second image sample obtained by the enhancement and a second text sample obtained by the enhancement; and training the image generation model according to a training set selected from a first training set, a second training set or a third training set, until the image generation model converges.

Abstract: A method for processing video data includes: acquiring a target segment of video data to be extracted; acquiring theme information to be extracted; and determining an association degree between the target segment and the theme information based on segment information of the video data and a relationship between the target segment and the video data.

Abstract: A method for generating a relationship of events includes: obtaining a statement of a first event and a statement of a second event; generating a word sequence vector with first granularity and a word sequence vector with second granularity based on the statement of the first event; generating a word sequence vector with third granularity and a word sequence vector with fourth granularity based on the statement of the second event; generating a first fusion vector based on the word sequence vector with first granularity and the word sequence vector with second granularity; generating a second fusion vector based on the word sequence vector with third granularity and the word sequence vector with fourth granularity; and determining a relationship between the first event and the second event based on the first fusion vector and the second fusion vector.

Abstract: An information processing method, an electronic device, and a storage medium are provided, which relate to the field of artificial intelligence technologies such as big data, knowledge graphs, deep learning and the like. The method includes: determining a first independence relationship according to a plurality of variables and values respectively corresponding to the plurality of variables, wherein the first independence relationship includes: at least two variables of the plurality of variables being relatively independent; determining a first adjustment scheme according to the plurality of variables and the first independence relationship; adjusting the first independence relationship according to the first adjustment scheme, to obtain a second independence relationship; and obtaining a causal relationship information processing result according to the second independence relationship.

Abstract: A method and apparatus for training a search model, and a method and apparatus for searching for a target object are provided. The method may comprise: obtaining, based on sample query information, a first sample data set used to train the search model. The method may further comprise: determining, based on a pre-constructed knowledge base, additional query information associated with the sample query information. In addition, the method may further comprise: obtaining, based on the additional query information, a second sample data set used to train the search model, wherein the second sample data set is different from the first sample data set. Moreover, the method may further comprise: training the search model based on the sample query information, the first sample data set, and the second sample data set.

Abstract: Exemplary embodiments of the present disclosure provide a method and apparatus for automatically generating an advertisement, a device, a computer-readable storage medium, and a computer program product. The method for automatically generating an advertisement includes: obtaining, based on a field to which an object of the advertisement belongs, multimedia content reflecting attributes of the object, wherein the multimedia content comprises one of text content, image content, video content, and audio content; generating, based on the field and the attributes, text information describing the object; and combining the multimedia content and the text information to generate the advertisement.

Abstract: A method for generating a relationship of events includes: obtaining a statement of a first event and a statement of a second event; generating a word sequence vector with first granularity and a word sequence vector with second granularity based on the statement of the first event; generating a word sequence vector with third granularity and a word sequence vector with fourth granularity based on the statement of the second event; generating a first fusion vector based on the word sequence vector with first granularity and the word sequence vector with second granularity; generating a second fusion vector based on the word sequence vector with third granularity and the word sequence vector with fourth granularity; and determining a relationship between the first event and the second event based on the first fusion vector and the second fusion vector.