Semi-Automatic Corpus Expansion and Extraction of Uyghur-Named Entities and Relations Based on a Hybrid Method
Semi-Automatic Corpus Expansion and Extraction of Uyghur-Named Entities and Relations Based on a Hybrid Method
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基于混合方法的维吾尔命名实体和关系的半自动语料库扩展和提取
DOI：
10.3390/info11010031
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发表时间：
2020-01
期刊：
影响因子：
3.1
通讯作者：
Tuergen Yibulayin
中科院分区：
文献类型：
--
作者：
Ayiguli Halike;Kahaerjiang Abiderexiti;Tuergen Yibulayin
关系抽取是一项重要任务，在自然语言处理中有许多应用，比如结构化知识抽取、知识图谱构建以及自动问答系统构建。然而，过去相关的研究相对较少……（原句最后“wo”似乎不完整）
Relation extraction is an important task with many applications in natural language processing, such as structured knowledge extraction, knowledge graph construction, and automatic question answering system construction. However, relatively little past work has focused on the construction of the corpus and extraction of Uyghur-named entity relations, resulting in a very limited availability of relation extraction research and a deficiency of annotated relation data. This issue is addressed in the present article by proposing a hybrid Uyghur-named entity relation extraction method that combines a conditional random field model for making suggestions regarding annotation based on extracted relations with a set of rules applied by human annotators to rapidly increase the size of the Uyghur corpus. We integrate our relation extraction method into an existing annotation tool, and, with the help of human correction, we implement Uyghur relation extraction and expand the existing corpus. The effectiveness of our proposed approach is demonstrated based on experimental results by using an existing Uyghur corpus, and our method achieves a maximum weighted average between precision and recall of 61.34%. The method we proposed achieves state-of-the-art results on entity and relation extraction tasks in Uyghur.
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DOI：
10.18653/v1/p16-2
发表时间：
2016
期刊：
--
影响因子：
--
作者：
K. Erk;Noah A. Smith
通讯作者：
K. Erk;Noah A. Smith
DOI：
10.5555/1953048.2078186
发表时间：
2011-02
期刊：
ArXiv
影响因子：
--
作者：
R. Collobert;J. Weston;L. Bottou;Michael Karlen;K. Kavukcuoglu;Pavel P. Kuksa
通讯作者：
R. Collobert;J. Weston;L. Bottou;Michael Karlen;K. Kavukcuoglu;Pavel P. Kuksa
DOI：
10.18653/v1/d15-1062
发表时间：
2015-06
期刊：
--
影响因子：
--
作者：
Kun Xu;Yansong Feng;Songfang Huang;Dongyan Zhao
通讯作者：
Kun Xu;Yansong Feng;Songfang Huang;Dongyan Zhao
基于鲁棒语素序列和卷积神经网络的维吾尔语和哈萨克语短文本分类
影响因子：
--
作者：
Sardar Parhat;Mijit Ablimit;Askar Hamdulla
通讯作者：
Askar Hamdulla
DOI：
10.1007/978-3-319-31468-6_10
发表时间：
2015-01
期刊：
International Journal on Interactive Design and Manufacturing (IJIDeM)
影响因子：
--
作者：
Jiamila Wushouer;Wayiti Abulizi;Kahaerjiang Abiderexiti;Tuergen Yibulayin;Mairehaba Aili;Saimaiti Maimaitimin
通讯作者：
Jiamila Wushouer;Wayiti Abulizi;Kahaerjiang Abiderexiti;Tuergen Yibulayin;Mairehaba Aili;Saimaiti Maimaitimin