Abstract: A natural language processing method includes obtaining a to-be-processed phrase, where the to-be-processed phrase includes M words, determining polarity characteristic information of m to-be-processed words in the M words, where polarity characteristic information of an ith word in the m to-be-processed words includes n polarity characteristic values, and each polarity characteristic value corresponds to one sentiment polarity, determining a polarity characteristic vector of the to-be-processed phrase based on the polarity characteristic information of the m to-be-processed words, where the polarity characteristic vector includes n groups of components in a one-to-one correspondence with n sentiment polarities, and determining a sentiment polarity of the to-be-processed phrase based on the polarity characteristic vector of the to-be-processed phrase using a preset classifier, and outputting the sentiment polarity.

Abstract: The present invention provides a robot control method, and the method includes: collecting interaction information of a companion target, and obtaining digital person information of a companion person (101), where the interaction information includes interaction information of a sound or an action of the companion target toward the robot, and the digital person information includes a set of digitized information of the companion person; and determining, by using the interaction information and the digital person information, a manner of interacting with the companion target (103); generating, based on the digital person information of the companion person and by using a machine learning algorithm, an interaction content corresponding to the interaction manner (105); and generating a response action toward the companion target based on the interaction manner and the interaction content (107).

Abstract: In a speech synthesis method, an emotion intensity feature vector is set for a target synthesis text, an acoustic feature vector corresponding to an emotion intensity is generated based on the emotion intensity feature vector by using an acoustic model, and a speech corresponding to the emotion intensity is synthesized based on the acoustic feature vector. The emotion intensity feature vector is continuously adjustable, and emotion speeches of different intensities can be generated based on values of different emotion intensity feature vectors, so that emotion types of a synthesized speech are more diversified. This application may be applied to a human-computer interaction process in the artificial intelligence (AI) field, to perform intelligent emotion speech synthesis.

Abstract: A control method for performing a multi-table join operation and a corresponding apparatus are disclosed. Fields in a table whose fields participating in a theta join operation and used in the query statement meet a first preset condition are decomposed, to obtain a plurality of first field groups, so that the theta join operation can be implemented in steps in a form of the plurality of field groups. This can reduce a data amount of Cartesian product calculation during one join operation, greatly reduce network transmission overheads, computing overheads, and memory overheads, and improve execution efficiency.

Abstract: The present invention discloses a missing semantics complementing method in the field of natural language processing in the artificial intelligence field, including: obtaining a question statement and a historical dialog statement; resolving a to-be-resolved item in the question statement based on the historical dialog statement and location information of the to-be-resolved item, to obtain a resolved question statement; determining whether a component in the question statement is ellipted, and if a component in the question statement is ellipted, complementing the ellipted component based on the historical dialog statement, to obtain a question statement after ellipsis resolution; merging the resolved question statement and the question statement after ellipsis resolution, to obtain a merged question statement; and determining a target complemented question statement from the resolved question statement, the question statement after ellipsis resolution, and the merged question statement.

Abstract: In a speech synthesis method, an emotion intensity feature vector is set for a target synthesis text, an acoustic feature vector corresponding to an emotion intensity is generated based on the emotion intensity feature vector by using an acoustic model, and a speech corresponding to the emotion intensity is synthesized based on the acoustic feature vector. The emotion intensity feature vector is continuously adjustable, and emotion speeches of different intensities can be generated based on values of different emotion intensity feature vectors, so that emotion types of a synthesized speech are more diversified. This application may be applied to a human-computer interaction process in the artificial intelligence (AI) field, to perform intelligent emotion speech synthesis.

Abstract: The present disclosure relates to computing resource allocation methods, devices, and systems. One example system includes a management node and a target computing node. The management node is configured to obtain M computing tasks and establish a resource assessment model, and send one or more computing tasks of the M computing tasks and information about the resource assessment model to the target computing node. The target computing node is configured to receive the one or more computing tasks and the information about the resource assessment model, substitute input data of a particular computing stage of a target task into the resource assessment model to compute a resource size required for the particular computing stage, and compute the input data by using a computing resource that is of the resource size and that is in a preset resource pool.

Abstract: The present disclosure relates to a resource allocation method for gene analysis. In one example method, a parameter value that is of the target chromosome region and that is used for resource allocation is obtained according to a sequenced read in a target chromosome region. A computing resource is allocated, according to the parameter value that is of the target chromosome region and that is used for resource allocation, to an operation in a cleansing and variant calling task that is in the gene analysis and that is performed on the sequenced read in the target chromosome region.

Abstract: This application provides a natural language processing method and apparatus, to accurately determine a sentiment polarity of a word.

Abstract: Embodiments of the present invention related to in Artificial Intelligence field and disclose a computing resource allocation method, a related device, and a MapReduce-based distributed system. The system includes a management node and a target computing node. The management node is configured to: obtain M computing tasks, and establish a resource assessment model; and send one or more computing tasks of the M computing tasks and information about the resource assessment model to the target computing node. The target computing node is configured to: receive the one or more computing tasks and the information about the resource assessment model, and, substitute input data of the computing stage into the resource assessment model to compute a resource size of a computing resource required for the computing stage; and compute the input data by using a computing resource that is of the resource size and that is in a preset resource pool.

Abstract: A control method for performing a multi-table join operation and a corresponding apparatus are disclosed. Fields in a table whose fields participating in a theta join operation and used in the query statement meet a first preset condition are decomposed, to obtain a plurality of first field groups, so that the theta join operation can be implemented in steps in a form of the plurality of field groups. This can reduce a data amount of Cartesian product calculation during one join operation, greatly reduce network transmission overheads, computing overheads, and memory overheads, and improve execution efficiency.

Abstract: Embodiments of the present invention provide a data object processing method and apparatus, which can divide a data object into one or more blocks; calculate a sample compression ratio of each block, aggregate neighboring consecutive blocks with a same sample compression ratio characteristic into one data segment, and obtain the sample compression ratio of each of the data segments; and select, according to a length range to which a length of each of the data segments belongs and a compression ratio range to which the sample compression ratio of each of the data segments belongs, an expected length to divide the data segment into data chunks, where the sample compression ratio of each of the data segments uniquely belongs to one of the compression ratio ranges, and the length of each of the data segments uniquely belongs to one of the length ranges.

Abstract: The present invention provides a robot control method, and the method includes: collecting interaction information of a companion target, and obtaining digital person information of a companion person (101), where the interaction information includes interaction information of a sound or an action of the companion target toward the robot, and the digital person information includes a set of digitized information of the companion person; and determining, by using the interaction information and the digital person information, a manner of interacting with the companion target (103); generating, based on the digital person information of the companion person and by using a machine learning algorithm, an interaction content corresponding to the interaction manner (105); and generating a response action toward the companion target based on the interaction manner and the interaction content (107).

Abstract: A data processing method includes distributing, by a computing node, a pasting back result sequence corresponding to a to-be-pasted-back deoxyribonucleic acid (DNA) read string to a pasting back result sequence set corresponding to a target chromosome region, when the quantity of the pasting back result sequences included in the pasting back result sequence set is greater than or equal to the pre-determined quantity threshold, dividing the pasting back result sequence set into k pasting back result sequence subsets according to a preset division rule, and dividing the target chromosome region into k chromosome subregions in a one-to-one correspondence to the k pasting back result sequence subsets, and further dividing a gene analysis task of the pasting back result sequence set into k gene analysis subtasks, and executing in parallel the k gene analysis subtasks.

Abstract: A DNA sequence processing method and device are used to resolve a prior-art problem of low-efficiency mutation detection on a DNA sample. The method includes: performing alignment computation on each read in the read group according to a reference sequence of a chromosome to obtain an alignment result record of the read relative to the reference sequence; determining a chromosome region in which each read is located; and merging alignment result records of reads located in a same chromosome region into one intermediate result file; determining a target sequence file of each chromosome region according to the N intermediate result files corresponding to the chromosome region; and determining mutation site information of each chromosome region according to the target sequence file of the chromosome region.

Abstract: The present disclosure relates to a resource allocation method for gene analysis. In one example method, a parameter value that is of the target chromosome region and that is used for resource allocation is obtained according to a sequenced read in a target chromosome region. A computing resource is allocated, according to the parameter value that is of the target chromosome region and that is used for resource allocation, to an operation in a cleansing and variant calling task that is in the gene analysis and that is performed on the sequenced read in the target chromosome region.

Abstract: A method and an apparatus for calculating an estimated data compression ratio relate to the field of data processing technologies. In the solutions, an estimated data compression ratio is calculated using a related indicator that represents a distribution pattern of symbols in a symbol sequence, where the related indicator that represents the distribution pattern of the symbols in the symbol sequence is relatively closely related to the estimated data compression ratio.

Abstract: A method and an apparatus for calculating an estimated data compression ratio relate to the field of data processing technologies. In the solutions, an estimated data compression ratio is calculated using a related indicator that represents a distribution pattern of symbols in a symbol sequence, where the related indicator that represents the distribution pattern of the symbols in the symbol sequence is relatively closely related to the estimated data compression ratio.

Abstract: Embodiments of the present invention provide a data object processing method and apparatus, which can divide a data object into one or more blocks; calculate a sample compression ratio of each block, aggregate neighboring consecutive blocks with a same sample compression ratio characteristic into one data segment, and obtain the sample compression ratio of each of the data segments; and select, according to a length range to which a length of each of the data segments belongs and a compression ratio range to which the sample compression ratio of each of the data segments belongs, an expected length to divide the data segment into data chunks, where the sample compression ratio of each of the data segments uniquely belongs to one of the compression ratio ranges, and the length of each of the data segments uniquely belongs to one of the length ranges.