Non-named entity object extraction method and device, electronic equipment and storage medium
A named entity and object extraction technology, applied in electrical digital data processing, instruments, calculations, etc., can solve the problem of inaccurate extraction of non-named entities and achieve the effect of improving accuracy
Pending Publication Date: 2020-03-27
BEIJING MININGLAMP SOFTWARE SYST CO LTD
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[0004] The purpose of the embodiment of the present application is to provide a non-named entity object extraction method, device, electronic equipment and storage medium to solve the problem of inaccurate non-named entity extraction in the prior art
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[0030] The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
[0031] Named entity (named entity) The so-called named entity refers to the names of people, institutions, places, and all other entities identified by names. Broader entities also include numbers, dates, currencies, addresses, and more. The so-called non-named entity is first of all an entity. In natural language, an entity refers to an object that is different from other words and can exist independently. The object is generally expressed in the form of a noun. In the entity, the so-called non-named entity refers to In addition to named entities (personal names, place names, organizational structure names, etc.), entities that meet specific business needs, such needs vary and change depending on the business. Such as: whitening, dark yellow, staying up late, replenishing water and other words.
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The invention provides a non-named entity object extraction method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining a to-be-processed text, and performing word segmentation processing on the to-be-processed text to obtain a plurality of feature words; performing part-of-speech tagging on the plurality of feature words to obtain target part-of-speech information corresponding to each feature word; performing dependency syntactic analysis on the plurality of feature words to obtain a relationship between each feature word and a context; analyzingthe plurality of feature words by using a named entity recognition model to obtain primarily selected feature words of the non-named entity; and determining a target feature word from the primarily selected feature words according to the target part-of-speech information of the primarily selected feature words and the relationship between the primarily selected feature words and the context. According to the embodiment of the invention, the non-named entity object is identified by integrating part-of-speech tagging, dependency syntax analysis and the named entity identification model, so thatthe identification accuracy is improved.
Description
technical field [0001] The present application relates to the technical field of object extraction, in particular to a method, device, electronic equipment and storage medium for extracting non-named entity objects. Background technique [0002] In the context of the rapid improvement of big data technology and computer foundation, artificial intelligence (AI) has been pushed to the pinnacle of technology, and the crown of AI is natural language processing (NLP). The special task is called named entity recognition (Named Entity Recognition, NER), which is mainly to extract named entities from a sentence, such as: person name, place name, organization name, etc. The reason why these named entities can be extracted is that these nouns are highly cohesive and not very relevant to the context. [0003] At present, the extraction of non-named entities in the industry is only a direct reference to the method of named entity extraction. No matter whether the model is through stati...
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IPC IPC(8): G06F40/295G06F40/289
CPCY02D10/00
Inventor 齐云飞梁秀钦
Owner BEIJING MININGLAMP SOFTWARE SYST CO LTD