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公开(公告)号:US20230177359A1
公开(公告)日:2023-06-08
申请号:US18063348
申请日:2022-12-08
Inventor: Sijin WU , Han LIU , Teng HU , Shikun FENG , Yongfeng CHEN
IPC: G06N5/022 , G06F40/174 , G06F40/205
CPC classification number: G06N5/022 , G06F40/174 , G06F40/205 , G06F40/30
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.
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公开(公告)号:US20230135536A1
公开(公告)日:2023-05-04
申请号:US18089395
申请日:2022-12-27
Inventor: Chenhui LI , Teng HU , Shikun FENG , Yongfeng CHEN
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.
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公开(公告)号:US20220108556A1
公开(公告)日:2022-04-07
申请号:US17552149
申请日:2021-12-15
Inventor: Yiyu PENG , Teng HU , Hua LU , Yongfeng CHEN
IPC: G06V30/418 , G06V30/412 , G06V30/10 , G06F40/103 , G06F16/93
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.
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公开(公告)号:US20230097986A1
公开(公告)日:2023-03-30
申请号:US18058640
申请日:2022-11-23
Inventor: Han LIU , Teng HU , Yongfeng CHEN
IPC: G06F40/279 , G06F40/30
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.
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公开(公告)号:US20230005283A1
公开(公告)日:2023-01-05
申请号:US17577531
申请日:2022-01-18
Inventor: Han LIU , Teng HU , Yongfeng CHEN
IPC: G06V30/18 , G06V30/19 , G06V30/262 , G06F40/20
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.
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