@inproceedings{yang-etal-2020-ji,
title = "基于词语聚类的汉语口语教材自动推送素材研究(Study on Automatic Push Material of Oral {C}hinese Textbook Based on Word Clustering)",
author = "Yang, Bingbing and
Zhao, Huizhou and
Wang, Zhimin",
booktitle = "Proceedings of the 19th Chinese National Conference on Computational Linguistics",
month = oct,
year = "2020",
address = "Haikou, China",
publisher = "Chinese Information Processing Society of China",
url = "https://aclanthology.org/2020.ccl-1.58",
pages = "624--633",
abstract = "新冠肺炎的蔓延使得线上移动教学成为教育发展的必然趋势,本文以适合汉语教材自动推送的口语素材为研究对象,基于10341条生活类口语语料,对词汇的整体特点进行计量分析,在此基础上使用词向量模型及Kmeans算法对全部词语进行聚类,参考词语聚类结果及对口语语料话题和场景的考察,构建了一个包含15个一级话题、102个二级话题及81个交际场景的汉语口语话题-场景素材库。同时对各级话题常用词进行了总结。本文可为教材自动定制的素材库提供资源支持。",
language = "Chinese",
}
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%0 Conference Proceedings
%T 基于词语聚类的汉语口语教材自动推送素材研究(Study on Automatic Push Material of Oral Chinese Textbook Based on Word Clustering)
%A Yang, Bingbing
%A Zhao, Huizhou
%A Wang, Zhimin
%S Proceedings of the 19th Chinese National Conference on Computational Linguistics
%D 2020
%8 October
%I Chinese Information Processing Society of China
%C Haikou, China
%G Chinese
%F yang-etal-2020-ji
%X 新冠肺炎的蔓延使得线上移动教学成为教育发展的必然趋势,本文以适合汉语教材自动推送的口语素材为研究对象,基于10341条生活类口语语料,对词汇的整体特点进行计量分析,在此基础上使用词向量模型及Kmeans算法对全部词语进行聚类,参考词语聚类结果及对口语语料话题和场景的考察,构建了一个包含15个一级话题、102个二级话题及81个交际场景的汉语口语话题-场景素材库。同时对各级话题常用词进行了总结。本文可为教材自动定制的素材库提供资源支持。
%U https://aclanthology.org/2020.ccl-1.58
%P 624-633
Markdown (Informal)
[基于词语聚类的汉语口语教材自动推送素材研究(Study on Automatic Push Material of Oral Chinese Textbook Based on Word Clustering)](https://aclanthology.org/2020.ccl-1.58) (Yang et al., CCL 2020)
ACL