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1.发明公开
公开(公告)号：EP3822820A1
公开(公告)日：2021-05-19
申请号：EP21150908.8
申请日：2021-01-11
发明人： FENG, Xinwei , TIAN, Zhixing , DAI, Songtai , YU, Miao , ZHOU, Huanyu , TIAN, Meng , WU, Xueqian , SONG, Xunchao , YUAN, Pengcheng
IPC分类号： G06F16/34
摘要： The present application discloses a method, an apparatus, a device, and a computer readable storage medium for determining a target content, the method includes: splitting an article paragraph determined according to search information into multiple sentences, and determining a relationship between the sentences according to attributes of the sentences; determining a sentence representation corresponding to each of the sentences according to the relationship between the sentences; and determining a target sentence according to the sentence representation of the sentence and the search information, and determining a target content according to the target sentence. In the method, the apparatus, the device, and the computer readable storage medium for determining a target content provided by the present disclosure, a relationship between sentences can be determined, sentence representations of the sentences can be re-determined according to the relationship between sentences, and then a target sentence is determined from the sentences according to the sentence representation, so that the method, the apparatus, the device, and the computer readable storage medium provided by the present disclosure can analyze each of the sentences in combination with the relationship between the sentences, thereby determining a target content that more closely matches the search information.
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公开(公告)号：EP4113387A2
公开(公告)日：2023-01-04
申请号：EP22192187.7
申请日：2022-08-25
发明人： SHI, Hongjian , FENG, Xinwei , LI, Feifei , GUO, Chenyang , WU, Xueqian , TIAN, Meng , SUN, Yu
IPC分类号： G06N3/04 , G06N3/08 , G06F16/9038
摘要： The present disclosure provides a search method based on a neural network model, the neural network model including a semantic representation model, a recall model, and a ranking model, and relates to the field of artificial intelligence, and in particular to the technical field of search. An implementation is: inputting a target search and a plurality of objects to be matched to the semantic representation model to obtain a first output of the semantic representation model, where the first output has a semantic understanding representation of recall and ranking; inputting the first output of the semantic representation model to the recall model, and obtaining at least one recall object matching the target search from the plurality of objects to be matched by using the recall model; and inputting a second output of the semantic representation model to the ranking model, and obtaining a matching value of each of the at least one recall object by using the ranking model, where the second output of the semantic representation model is obtained based on the input target search and the at least one recall object.
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公开(公告)号：EP4113387A3
公开(公告)日：2023-03-01
申请号：EP22192187.7
申请日：2022-08-25
发明人： SHI, Hongjian , FENG, Xinwei , LI, Feifei , GUO, Chenyang , WU, Xueqian , TIAN, Meng , SUN, Yu
IPC分类号： G06N3/042 , G06N3/09 , G06N3/045 , G06F16/9038
摘要： The present disclosure provides a search method based on a neural network model, the neural network model including a semantic representation model, a recall model, and a ranking model, and relates to the field of artificial intelligence, and in particular to the technical field of search. An implementation is: inputting a target search and a plurality of objects to be matched to the semantic representation model to obtain a first output of the semantic representation model, where the first output has a semantic understanding representation of recall and ranking; inputting the first output of the semantic representation model to the recall model, and obtaining at least one recall object matching the target search from the plurality of objects to be matched by using the recall model; and inputting a second output of the semantic representation model to the ranking model, and obtaining a matching value of each of the at least one recall object by using the ranking model, where the second output of the semantic representation model is obtained based on the input target search and the at least one recall object.
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