Abstract: A connector for use with high-speed signals. The connector includes a connector subassembly that includes conductive elements held in a row by an insulative member. Each conductive element includes a mating end, a mounting end opposite the mating end, and an intermediate portion extending therebetween. The conductive elements include ground conductors dispersed between pairs of signal conductors. The ground conductors are wider than the signal conductors at the intermediate portions, and have same widths as the signal conductors at the ends. For each ground conductor, the intermediate portion has first and second portions separated by a slot until joining each other at the mating end. The insulative member holds the conductive elements at least partially through the slots of the ground conductors. Such a configuration meets signal integrity requirements in connectors designed for 64 Gbps and beyond, while conforming to a standard that constrains mating and mounting interfaces.

Abstract: A connector for use with high-speed signals. The connector includes conductive elements held in a row by an insulative member, a shielding member stacked on the insulative member, and a lossy member stacked on the shielding member and electrically connecting the shielding member to selected ones of the conductive elements. Each conductive element includes a mating end and a mounting end opposite the mating end. The insulative member includes first and second edges extending parallel to the row. The first edge and second edge are closer to the mating ends and mounting ends of the conductive elements, respectively. The shielding member includes a portion projecting from the first edge to provide shielding to the conductive elements beyond the first edge of the insulative member. Such a configuration meets signal integrity requirements in connectors designed for 64 Gbps and beyond, while conforming to a standard that constrains mating and mounting interfaces.

Abstract: The present disclosure provides a method and apparatus for training a document information extraction model and method and apparatus for extracting document information, and relates to the field of artificial intelligence, and more particularly to the field of natural language processing. A specific implementation solution is: acquiring training data labeled with an answer corresponding to a preset question and a document information extraction model, the training data includes layout document training data and streaming document training data; extracting at least one feature from the training data; fusing at least one feature to obtain a fused feature; inputting the preset question, the fused feature and the training data into the document information extraction model to obtain a predicted result; and adjusting network parameters of the document information extraction model based on the predicted result and the answer.

Abstract: A method and an apparatus for processing a table are provided. The method includes: obtaining text information of cells in the table; obtaining structure information of the cells in the table; and inputting a query word, the text information, and the structure information of the table into a table information extraction model to obtain an answer output from the table information extraction model, wherein the output answer corresponds to the query word in the table.

Abstract: A data processing method is provided. The method includes: determining fusion information based on a text to be processed and a plurality of reference text fragments; executing the following matching operation for each of the plurality of reference text fragments: determining a first coefficient of each feature vector of the fusion information respectively; determining a second coefficient of each feature vector of the fusion information respectively; determining a result feature vector of the reference text fragment using each feature vector included in the fusion information and a weight of the feature vector; and determining a matching degree of the reference text fragment and the text to be processed based on the result feature vector.

Abstract: A method for extracting text information includes: acquiring a text to be extracted and a target field name; extracting candidate text information matching the target field name from the text to be extracted based on the text to be extracted and the target field name; and acquiring target text information matching fusion semantics of the text to be extracted, the target field name and the candidate text information by filtering the candidate text information based on the fusion semantics. Therefore, when the candidate text information matching the target field name is extracted from the text to be extracted, the candidate text information is filtered based on the fusion semantics of the text to be extracted, the target field name and the candidate text information, which improves the accuracy of extracting text information.

Abstract: A method for extracting text information includes: acquiring a text to be extracted and a target field name; extracting candidate text information matching the target field name from the text to be extracted based on the text to be extracted and the target field name; and acquiring target text information matching fusion semantics of the text to be extracted, the target field name and the candidate text information by filtering the candidate text information based on the fusion semantics. Therefore, when the candidate text information matching the target field name is extracted from the text to be extracted, the candidate text information is filtered based on the fusion semantics of the text to be extracted, the target field name and the candidate text information, which improves the accuracy of extracting text information.

Abstract: The present disclosure provides an information extraction method and apparatus, an electronic device and a readable storage medium, and relates to the field of natural language processing technologies. The information extraction method includes: acquiring a to-be-extracted text; acquiring a sample set, the sample set including a plurality of sample texts and labels of sample characters in the plurality of sample texts; determining a prediction label of each character in the to-be-extracted text according to a semantic feature vector of each character in the to-be-extracted text and a semantic feature vector of each sample character in the sample set; and extracting, according to the prediction label of each character, a character meeting a preset requirement from the to-be-extracted text as an extraction result of the to-be-extracted text. The present disclosure can simplify steps of information extraction, reduce costs of information extraction and improve flexibility and accuracy of information extraction.

Abstract: This application discloses a method, an apparatus and an electronic device for error correction of numerical contents in a text, and relates to a technology field of artificial intelligence such as natural language processing and deep learning. The implementation method is: obtaining a target text to be processed; determining original numerical contents included in the target text; determining target types corresponding to the original numerical contents; and performing error correction on each original numerical content according to an error correction manner corresponding to each target type. Therefore, the error correction of numerical contents is realized according to types of the numerical contents, which is not only limited to the error correction of the numerical format, but also the logical error correction of the numerical content, so as to improve the numerical error correction capability and thereby improving the recall rate of detection and correction of wrong values.

Abstract: A method of comparing documents, an electronic device, and a readable storage medium are provided, which relate to the field of data processing technology, and specifically to the field of big data technology. In the present disclosure, an area division is performed on each document of two documents to be compared, according to a document layout of each document, so as to obtain at least two sets of comparison units. Each set of comparison units comprises comparison units for the two documents respectively and the comparison units for the two documents correspond to each other. Thus, a content comparison may be performed on between comparison units of each of the at least two sets, so as to obtain a content comparison result for each set of comparison units as a comparison result for the two documents.

Abstract: A fault-preventing circuit recloser includes a ballast impedance, power line current and voltage monitors, and controller that operates the switch based on measurements obtained from the current and voltage monitors. The controller aborts the closing (i.e., reopens the switch) when the controller detects that the switch has closed into faulted line. The circuit recloser temporarily introduces the ballast impedance into the circuit during the closing operation to limit the current spike and voltage dip caused by initially closing the switch into the faulted line. The circuit recloser also temporarily introduces the ballast impedance into the circuit during the opening operation to limit the voltage transient that can be caused by initially opening a load-carrying power line. Different ballast resistor insertion times are applied depending on the type of recloser operation (opening or closing) and whether a fault is detected.

Abstract: This application discloses a method, an apparatus and an electronic device for error correction of numerical contents in a text, and relates to a technology field of artificial intelligence such as natural language processing and deep learning. The implementation method is: obtaining a target text to be processed; determining original numerical contents included in the target text; determining target types corresponding to the original numerical contents; and performing error correction on each original numerical content according to an error correction manner corresponding to each target type. Therefore, the error correction of numerical contents is realized according to types of the numerical contents, which is not only limited to the error correction of the numerical format, but also the logical error correction of the numerical content, so as to improve the numerical error correction capability and thereby improving the recall rate of detection and correction of wrong values.

Abstract: A vehicle seatback assembly includes a cavity disposed in a seatback of a vehicle and a storage system. The storage system is movable between a first position in which the storage system is stowed in the cavity and a second position in which the storage system extends from the cavity.

Abstract: A storage structure for mounting on an interior mounting surface of a vehicle is described. The storage structure includes a sheet of flexible fabric that forms a pocket on the interior mounting surface. The fabric pocket can be opened and closed with one or more shape memory alloy actuators. The interior mounting surface can be a seatback, door trim, a wall of a cargo area, etc.

Abstract: A fault-preventing circuit recloser includes a ballast impedance, power line current and voltage monitors, and controller that operates the switch based on measurements obtained from the current and voltage monitors. The controller aborts the closing (i.e., reopens the switch) when the controller detects that the switch has closed into faulted line. The circuit recloser temporarily introduces the ballast impedance into the circuit during the closing operation to limit the current spike and voltage dip caused by initially closing the switch into the faulted line. The circuit recloser also temporarily introduces the ballast impedance into the circuit during the opening operation to limit the voltage transient that can be caused by initially opening a load-carrying power line. Different ballast resistor insertion times are applied depending on the type of recloser operation (opening or closing) and whether a fault is detected.

Abstract: A storage structure for mounting on an interior mounting surface of a vehicle is described. The storage structure includes a sheet of flexible fabric that forms a pocket on the interior mounting surface. The fabric pocket can be opened and closed with one or more shape memory alloy actuators. The interior mounting surface can be a seatback, door trim, a wall of a cargo area, etc.

Abstract: A vehicle seatback assembly includes a cavity disposed in a seatback of a vehicle and a storage system. The storage system is movable between a first position in which the storage system is stowed in the cavity and a second position in which the storage system extends from the cavity.