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A Recommendation Method for Technical Writing Based on Self-Attention Mechanism

A recommendation method and attention technology, applied in the field of social media, can solve problems such as spending a lot of time, and achieve the effect of high recall rate and high normalized loss cumulative gain

Active Publication Date: 2022-04-12
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditional paper recommendation systems usually recommend entire papers, so researchers must spend a lot of time and energy reading the recommended papers in order to obtain information related to what they write

Method used

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  • A Recommendation Method for Technical Writing Based on Self-Attention Mechanism
  • A Recommendation Method for Technical Writing Based on Self-Attention Mechanism
  • A Recommendation Method for Technical Writing Based on Self-Attention Mechanism

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Experimental program
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Embodiment 1

[0065] This embodiment describes the process used in the collection of data sets in the present invention, the structure and detailed parameters of the deep technical writing recommendation model involved, and the experimental results.

[0066] The invention is a method for recommending scientific writing based on a self-attention mechanism, and the invention can be applied to scientific paper websites such as arxiv, DBLP, IEEE, ACM, and Springer. During specific implementation, the method crawls data from scientific and technical paper websites, such as arxiv, as an experimental data set, respectively according to figure 1 The order of the data collection phase, candidate set screening, training phase, real recommendation list acquisition and testing phase, the following process is performed:

[0067] In the data collection stage, first of all, the website arxiv of scientific papers is used as the practice object, and the process of collecting data is as follows:

[0068] St...

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Abstract

The invention relates to a method for recommending technical writing based on a self-attention mechanism, and belongs to the technical fields of computer natural language processing and social media. The method for recommending scientific writing first uses the existing writing content of the paragraphs to mine the author's writing theme and intention, and preliminarily screens the candidate paragraphs; secondly, a deep technical writing recommendation model based on the self-attention mechanism is designed to obtain the context Deep semantic representation of context to rank candidate paragraphs; by comparing the predicted ranking results with the real ranking results, the recall rate and normalized loss cumulative gain are obtained to evaluate the quality of the writing recommendation method. Compared with the traditional content-based citation recommendation method, the method performs recommendation prediction in a real scientific paper writing recommendation, and achieves the highest recall rate and normalized loss cumulative gain.

Description

technical field [0001] The invention relates to a method for recommending technical writing based on a self-attention mechanism, and belongs to the technical field of social media in computer natural language processing technology. Background technique [0002] Scientific and technological papers are one of the important ways for scientific and technological researchers to communicate technology and information. How to write scientific and technological papers is an essential skill for scientific and technological researchers. However, due to the lack of thinking in English writing by non-native-speaking researchers or junior doctoral students, their papers are often not rigorous in logic and incoherent in context. Therefore, paper writing has become an important challenge in scientific and technological research, and a suitable recommendation system for scientific paper writing is necessary. [0003] With the rapid development of science and technology and the rapid increa...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/951G06F16/9035G06F40/284G06N3/04G06N3/08
CPCG06F16/951G06F16/9035G06N3/08G06N3/045
Inventor 黄河燕高小燕毛先领迟泽闻余厚金兰天
Owner BEIJING INSTITUTE OF TECHNOLOGYGY