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Title selection method and system for reading robot

A robot and headline technology, applied in the field of natural language processing research, can solve problems such as ineffective improvement, complexity of data sparsity, time-consuming, etc., achieve clear thinking structure, reduce reasoning cost, and fill in gaps

Active Publication Date: 2021-06-04
SHANXI UNIV
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The feature-based method needs to manually construct a large number of different features, which consumes a lot of time. Although the end-to-end neural network model can automatically learn features, due to the sparsity of data and the complexity of the problem, the effect improvement is not obvious.

Method used

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  • Title selection method and system for reading robot
  • Title selection method and system for reading robot
  • Title selection method and system for reading robot

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Experimental program
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Embodiment 1

[0054] figure 2 Concrete flowchart for the relationship construction unit of the present invention. image 3 It is a schematic diagram of solving the reading comprehension title multiple-choice questions of the present invention. This embodiment reads the title selection method of the robot, and the specific steps are as follows:

[0055] 101. Obtain reading comprehension chapters, question stems and their options (such as Image 6 shown).

[0056] 102. Paragraph topic sentence extraction method based on relevant factors Extract the topic sentences of each paragraph in the reading comprehension text to obtain the main points of the text. It comprehensively evaluates the value of the sentence reflecting the theme, so as to more accurately extract the topic sentence of the paragraph and obtain the main points of the chapter.

[0057] 103. According to the previously obtained chapter points, use the pre-trained Word2Vec word vector to represent the obtained chapter points an...

Embodiment 2

[0072] The title selection system of the reading robot in this embodiment includes five parts: a chapter point extraction unit, a title and chapter point correlation analysis unit, a title structure analysis unit, a correlation matrix and title structure fusion unit, and an answer selection unit.

[0073] The chapter key point extraction unit is used to obtain the options corresponding to the reading comprehension chapter, question stem, and question stem. The method of extracting the topic sentence of the paragraph based on relevant factors extracts the topic sentence of each paragraph in the reading comprehension chapter. The topic sentence of each paragraph is a chapter respectively. main points;

[0074] The correlation analysis unit between the title and the main points of the chapter is used to analyze the correlation between the title and the main points of the chapter, that is, to calculate the similarity value of each title and each main point of the chapter respective...

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Abstract

The invention belongs to the field of natural language processing research, and specifically discloses a method and system for selecting a title of a reading robot; including the following steps: 1. A chapter point extraction unit; 2. A title and chapter point correlation analysis unit; 3. A title structure unit ; 4. Fusion unit of correlation matrix and title structure; 5. Answer selection unit, which sorts the options and selects the most suitable answer. The present invention proposes the correlation analysis method of title and article main point for the first time, this method is by analyzing the correlation of title and chapter main point, builds the relevance matrix based on title and chapter main point, integrates title structural feature on this basis, selects and chapter the most relevant title. This method follows the problem-solving rules, and solves the problem of reading the robot's title selection and answering questions. The invention effectively fills up the gap in intelligent answering of Chinese reading comprehension title multiple-choice questions.

Description

technical field [0001] The invention belongs to the field of natural language processing research, and in particular relates to a title selection method and system for a reading robot. Background technique [0002] The research and development of reading robots has become a research hotspot in recent years, attracting more and more attention from scholars and companies at home and abroad, and has achieved good development. [0003] In 2011, an IBM supercomputer (Watson) defeated the two most outstanding human contestants on the quiz show (Jeopardy). Todai Robot, an artificial intelligence robot developed by the National Institute of Informatics in Japan, has been able to pass the university entrance examination. In the 2015 Japanese university entrance examination, Todai Robot scored 511 points, 90 points higher than the average score of candidates. More points. In 2016, Google's artificial intelligence robot "AlphaGo" defeated the human representative Go player Li Shishi ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F40/258
CPCG06F40/258
Inventor 李茹关勇郭少茹张旗王智强柴清华
Owner SHANXI UNIV
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