Polysemous word meaning learning method and device, search result display method
A polysemous word and word meaning technology, applied in the computer field, can solve problems such as the inability to accurately identify the meaning of polysemous words, and achieve the effects of low labor costs, improved accuracy, and strong versatility
Active Publication Date: 2021-04-27
BEIJING SANKUAI ONLINE TECH CO LTD
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Problems solved by technology
[0005] The present disclosure provides a polysemous word meaning recognition method and device based on a capsule network model, a search result display method based on word meaning recognition, electronic equipment, and a computer-readable storage medium, thereby overcoming the inability of existing text recognition methods at least to a certain extent. The Problem of Accurately Identifying the Meanings of Polysemous Words
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[0031] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
[0032] In one solution of the related technology, word meaning learning is realized by giving an input word, predicting adjacent words in context, and training to obtain intermediate word vectors. refer to figure 1 As shown, in the scene of food search and comment, through the statistics of the corpus, it is found that the words that appear more adjacent to "green tea" are "restaurant", "lemon", "bamboo leaf green", etc., and the Skip-gram mode...
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A polysemous word meaning learning method and device, and a search result display method. The disclosure provides a method and device for learning polysemous words based on a capsule network model, belonging to the field of computer technology. The method includes: extracting a plurality of target words and one or more adjacent word combinations of each target word from the text set to be learned; encoding each target word and each adjacent word combination according to the lexicon of the text set to be learned; Take the encoding of each target word as an input vector, and use the encoding of each adjacent word combination corresponding to each target word as an output vector to train and obtain a capsule network model; input each target word into the capsule network model, and obtain the obtained Multiple intermediate vectors are determined as the feature vectors of the target words; similar feature vectors are clustered to generate representative words of each category, and according to the representative words of one or more categories to which the feature vectors of each target word belong, determine each One or more senses of the target word. The disclosure can realize the meaning learning of polysemous words and improve the accuracy rate of text recognition.
Description
technical field [0001] The present disclosure relates to the field of computer technology, and in particular to a method and device for recognizing the meaning of polysemous words based on a capsule network model, a method for displaying search results based on word meaning recognition, electronic equipment, and a computer-readable storage medium. Background technique [0002] With the development of computer technology, artificial intelligence has received more and more attention. Among them, natural language processing, as an important branch of artificial intelligence, has been widely used in search, intelligent customer service, machine translation, text proofreading, automatic summarization, etc. application. [0003] In natural language processing, it is often necessary to recognize the meaning of polysemy words. Existing text recognition methods have great limitations in the recognition of polysemous words. For example, the Word2vec tool learns word meanings based on...
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IPC IPC(8): G06F40/289G06F16/33G06F16/338
CPCG06F40/289G06F18/213G06N3/088G06Q30/01G06F40/30G06N20/00G06F18/22G06F18/23G06F18/2113G06F18/2163G06F16/3347G06F16/383G06F16/35
Inventor 陈红生
Owner BEIJING SANKUAI ONLINE TECH CO LTD