Generative machine reading understanding method, device and equipment and storage medium
A reading comprehension and generative technology, applied in the field of generative machine reading comprehension methods, equipment and storage media, and devices, can solve problems such as low fit, failure to bring user experience, stiffness, etc., and achieve high problem fit and avoid Artificial knowledge processing link, the effect of strict logic
Inactive Publication Date: 2020-02-04
BEIJING SINOVOICE TECH CO LTD
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Problems solved by technology
The answer generated by this answering method will include redundant and redundant information, or some information will be missed, and then there will be a phenomenon of low fit with the question, which is too rigid and cannot bring a good user experience.
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[0075] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.
[0076] Machine reading comprehension is a technique that takes an input question and derives an answer that can answer the question based on the passages related to the question. Machine reading comprehension technology is usually widely used in voice assistants, intelligent customer service and other fields.
[0077] Similar to reading comprehension, machine reading comprehension also needs to synthesize the original text and questions on the basis of reading the original...
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The invention provides a generative machine reading understanding method, device and equipment and a storage medium, and relates to the technical field of natural language understanding. The objectiveof the invention is to improve the integrating degree of generated answers and target questions. The method comprises the following steps of: according to the association degree of the candidate article and the target question, determining a target article, inputting the target article and the article question splicing vector matrix of the target question into an encoder to obtain an intermediateresult vector matrix; the decoder decoding the data according to the intermediate result vector matrix and the placeholder vector to obtain a first prediction probability vector; sequentially takingn from 1 to N, combining the intermediate result vector matrix and the nth prediction probability vector to obtain an (n+1) th probability prediction vector, determining (n+1) th characters accordingto the (n+1) th probability prediction vector, and splicing the first to n+1th characters to obtain an answer text.
Description
technical field [0001] The present application relates to the technical field of natural language understanding, in particular to a generative machine reading understanding method, device, equipment and storage medium. Background technique [0002] At present, natural language understanding technology has been widely used in the field of intelligent customer service in recent years. Take the example of a bank, which has a large number of users and frequently asks questions. In order to save manpower, Xingfang is looking forward to providing users with 24-hour question answering service in the form of intelligent customer service. [0003] For the questions raised by users, it is very likely that there are answers in the bank's rules and regulations, training manuals, product descriptions and other documents. Machine reading comprehension technology serves this purpose by reading texts and automatically answering questions raised by users, saving labor costs. [0004] Most...
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IPC IPC(8): G06F16/332G06F16/383G06F40/151G06F17/16G06Q40/02
CPCG06F16/3329G06F16/383G06F17/16G06Q40/02
Inventor 殷子墨李健张连毅武卫东
Owner BEIJING SINOVOICE TECH CO LTD