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Relational word determination method and device
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A technique for determining methods, relational words, applied in the field of information
Active Publication Date: 2019-12-13
BEIJING MININGLAMP SOFTWARE SYST CO LTD
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[0004] Embodiments of the present invention provide a method and device for determining relational words to at least solve the problem of how to determine relational words that can reasonably describe the semantic relationship of entities in related technologies
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Embodiment 1
[0077] The method embodiment provided in Embodiment 1 of the present application may be executed in a mobile terminal, a computer terminal, or a similar computing device. Taking running on a mobile terminal as an example, figure 1 It is a block diagram of the hardware structure of the mobile terminal of a method for determining relative words in the embodiment of the present invention, as figure 1 As shown, the mobile terminal 10 may include one or more ( figure 1 Only one is shown in the figure) a processor 102 (the processor 102 may include but not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data. Optionally, the above-mentioned mobile terminal also A transmission device 106 for communication functions as well as input and output devices 108 may be included. Those of ordinary skill in the art can understand that, figure 1 The shown structure is only for illustration, and does not limit the s...
Embodiment 2
[0165] The embodiment of the present invention also provides a device for determining relative words, which is used to implement the above embodiments and preferred implementation modes, and what has been explained will not be repeated here. As used below, the term "module" may be a combination of software and / or hardware that realizes a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementations in hardware, or a combination of software and hardware are also possible and contemplated.
[0166] Figure 4 is a block diagram of a device for determining relative words according to an embodiment of the present invention, such as Figure 4 shown, including:
[0167] The first determining module 42 is used to put the word as a target word into a predefined target word set if there is only one word between any two entities after the text is subjected to entity recognition processing;
[0168] Statistic...
Embodiment 3
[0199] Embodiments of the present invention also provide a computer-readable storage medium, in which a computer program is stored, wherein the computer program is set to execute the steps in any one of the above method embodiments when running.
[0200] Optionally, in this embodiment, the above-mentioned storage medium may be configured to store a computer program for performing the following steps:
[0201] S1, after performing entity recognition processing on the text, if there is only one word between any two entities, put the word as the target word into the predefined target word set;
[0202] S2, respectively counting the frequency of the multiple target words in the target word set and the frequency of the entity collocation types of the multiple target words, wherein the frequency of the entity collocation types of the multiple target words is based on the Determined by the types of the left and right entity words of multiple target words;
[0203] S3. Determine the ...
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Abstract
The invention provides a relational word determination method and device. The method comprises the steps of after entity recognition processing is conducted on a text, if only one word exists betweenany two entities, indicating the word serves as a target word to be put into a predefined target word set, and counting the word frequency of the multiple target words in the target word set and the frequency of left and right entity matching types of the multiple target words respectively; calculating the information entropy of each target word according to the word frequency of each target wordin the plurality of target words and the frequency of the left and right entity matching type of each target word; determining a credibility value of each target word according to the word frequency and the information entropy information of the similar word of each target word; and determining one or more target words of which the credibility values are greater than a preset threshold value as relation words. By adoption of the scheme, the problem of how to determine the relation words capable of reasonably describing the entity semantic relation in related technologies can be solved.
Description
technical field [0001] The present invention relates to the field of information technology, in particular to a method and device for determining relational words. Background technique [0002] Entity relationship extraction is an important link in the field of information extraction. Its purpose is to discover or identify the semantic relationship between entities, such as extracting relational triples (entity1, relationWord, entity2) from text, where (entity1, entity2) is related Entity pair, relationWord is a word or word sequence describing the semantic relationship between entities. At present, many research results show that both the traditional relation extraction method and the open extraction method still need the intervention of the relational vocabulary to help them extract reliable and meaningful relational knowledge, but how to establish a wide coverage and reasonable description There are still many difficulties in the relational vocabulary of entity semantic ...
Claims
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