Abstract: A method and apparatus for building a route time consumption estimation model, and a method and apparatus for estimating a route time consumption are provided.

Abstract: Embodiments of the present disclosure provide to a method and a device for acquiring a data model in a knowledge graph, an apparatus and a storage medium. The method includes: receiving a knowledge entry describing a relationship between an entity and an object; determining a plurality of candidate object types of the object according to at least one of the entity, the relationship and the object; determining an object type for generating a data model that matches the knowledge entry from the plurality of candidate object types based on a preset rule; and generating the data model based at least on the object type.

Abstract: Embodiments of the present disclosure provide a method, an apparatus and a device for generating entity relationship data, and a storage medium. The method includes: obtaining webpage source data corresponding to a target webpage; identifying at least one key value block from the webpage source data, wherein the key value block comprises at least one key value pair; identifying body values corresponding to the at least one key value block from the webpage source data; and generating entity relationship data corresponding to the target webpage according to the key value blocks and the body values corresponding to the key value blocks. With the technical solution the present disclosure, the webpage universality may be improved, labor cost may be reduced, and output quantity of the entity relationship data may be increased.

Abstract: Provided are a method, an apparatus and an electronic device for determining a knowledge sample data set, the method includes: acquiring a preset number of SPO triplet formats and source texts; acquiring, according to the SPO triplet formats, n SPO entries corresponding to the SPO triplet formats; searching, in the source texts, m first texts that match the n SPO entries, and generating a first knowledge sample data set; determining k second texts that meet the SPO triplet formats from the m first texts and generating a second knowledge sample data set; generating a target knowledge sample data set according to the first knowledge sample data set and the second knowledge sample data set. In the embodiments, the knowledge sample data set is automatically generated, the volume generation speed is fast, the cost is low, and the data size that can be produced is large, thus meeting the training requirement.

Abstract: A method and apparatus for building a route time consumption estimation model, and a method and apparatus for estimating a route time consumption are provided.

Abstract: A method and apparatus for building a route time consumption estimation model and a method and apparatus for estimating a route time consumption are described. A specific implementation solution comprises: obtaining training data from user trajectory data; obtaining the route time consumption estimation model by using the training data. The route time consumption estimation model comprises: a road segment subnetwork configured to obtain vector representations of road segments respectively based on the road segments included by the route and their context. The integration subnetwork determines an estimated time consumption on the route according to a feature representation of the time information, vector representations of the road segments and road condition feature representations of the road segments included by the route.

Abstract: A video processing method, apparatus and device. The method includes: acquiring a video to be processed; performing audio processing on a plurality of frames of audios in the video to obtain a first processing result corresponding to each frame of audio; performing image processing on a plurality of frames of images in the video to obtain a second processing result corresponding to each frame of image; determining an entity in the video according to the first processing result and the second processing result; acquiring association information of the entity according to index information of the entity; generating first text information used for describing each frame of image, according to the second processing result corresponding to each frame of image and association information of the entity; and generating a first type of target article according to the plurality of frames of images and first text information of each frame of image.

Abstract: The present disclosure provides a method, a terminal device and a storage medium for mining an entity description tag. The method includes: acquiring a group of one or more core words corresponding to each field and a first syntax dependent template corresponding to each core word; performing a matching on each data in a first data source by using the first syntax dependent template to determine a first description tag set in each field; performing a recognition on each data in a second data source to determine an entity set; determining a second description tag set based on a matching degree between each description tag in the description tag set of each field and each data in the second data source; and determining an entity description tag set based on a correlation between each entity in the entity set and each description tag in the second descriptive tag set.

Abstract: Embodiments of the present disclosure relate to a method, an apparatus and a device for constructing a data model, and a medium. The method for constructing the data model includes obtaining a first attribute set associated with an entity type. The method further includes aligning a plurality of attributes with a same semantics in the first attribute set to a same attribute, to generate a second attribute set associated with the entity type, attributes in the second attribute set having different semantics. The method further includes constructing the data model associated with the entity type based on the entity type and the second attribute set.

Abstract: Embodiments of the present disclosure provide to a method and a device for acquiring a data model in a knowledge graph, an apparatus and a storage medium. The method includes: receiving a knowledge entry describing a relationship between an entity and an object; determining a plurality of candidate object types of the object according to at least one of the entity, the relationship and the object; determining an object type for generating a data model that matches the knowledge entry from the plurality of candidate object types based on a preset rule; and generating the data model based at least on the object type.

Abstract: A method and device for extracting entity relation based on deep learning and a server are provided. The method includes: preprocessing a text to be mined, to obtain a sentence with entities in the text to be mined; determining an entity pair in the sentence according to the entities, wherein the entity pair includes at least two entities, and determining candidate relations between entities in the entity pair; and determining an entity relation between the entities in the entity pair from the candidate relations.

Abstract: Embodiments of the present disclosure provide a method, an apparatus and a device for generating entity relationship data, and a storage medium. The method includes: obtaining webpage source data corresponding to a target webpage; identifying at least one key value block from the webpage source data, wherein the key value block comprises at least one key value pair; identifying body values corresponding to the at least one key value block from the webpage source data; and generating entity relationship data corresponding to the target webpage according to the key value blocks and the body values corresponding to the key value blocks. With the technical solution the present disclosure, the webpage universality may be improved, labor cost may be reduced, and output quantity of the entity relationship data may be increased.

Abstract: Provided are a method, an apparatus and an electronic device for determining a knowledge sample data set, the method includes: acquiring a preset number of SPO triplet formats and source texts; acquiring, according to the SPO triplet formats, n SPO entries corresponding to the SPO triplet formats; searching, in the source texts, m first texts that match the n SPO entries, and generating a first knowledge sample data set; determining k second texts that meet the SPO triplet formats from the m first texts and generating a second knowledge sample data set; generating a target knowledge sample data set according to the first knowledge sample data set and the second knowledge sample data set. In the embodiments, the knowledge sample data set is automatically generated, the volume generation speed is fast, the cost is low, and the data size that can be produced is large, thus meeting the training requirement.

Abstract: A video processing method, apparatus and device. The method includes: acquiring a video to be processed; performing audio processing on a plurality of frames of audios in the video to obtain a first processing result corresponding to each frame of audio; performing image processing on a plurality of frames of images in the video to obtain a second processing result corresponding to each frame of image; determining an entity in the video according to the first processing result and the second processing result; acquiring association information of the entity according to index information of the entity; generating first text information used for describing each frame of image, according to the second processing result corresponding to each frame of image and association information of the entity; and generating a first type of target article according to the plurality of frames of images and first text information of each frame of image.

Abstract: The present disclosure provides a method, a terminal device and a storage medium for mining an entity description tag. The method includes: acquiring a group of one or more core words corresponding to each field and a first syntax dependent template corresponding to each core word; performing a matching on each data in a first data source by using the first syntax dependent template to determine a first description tag set in each field; performing a recognition on each data in a second data source to determine an entity set; determining a second description tag set based on a matching degree between each description tag in the description tag set of each field and each data in the second data source; and determining an entity description tag set based on a correlation between each entity in the entity set and each description tag in the second descriptive tag set.

Abstract: A method and device for extracting entity relation based on deep learning and a server are provided. The method includes: preprocessing a text to be mined, to obtain a sentence with entities in the text to be mined; determining an entity pair in the sentence according to the entities, wherein the entity pair includes at least two entities, and determining candidate relations between entities in the entity pair; and determining an entity relation between the entities in the entity pair from the candidate relations.