Xuemei Tang, Shichen Liang, Jianyu Zheng, Renfen Hu, Zhiying Liu
{"title":"Automatic Recognition of Allusions in Tang Poetry Based on BERT","authors":"Xuemei Tang, Shichen Liang, Jianyu Zheng, Renfen Hu, Zhiying Liu","doi":"10.1109/IALP48816.2019.9037679","DOIUrl":null,"url":null,"abstract":"In this paper, we propose an automated method for recognize allusions in Tang poetry. The representation of text is trained by BERT pre-trained by The SiKuQuanShu. The TOP-20 candidate allusions have the highest semantic similarity to the original sentence. Then update the ranking of candidate allusions by rule-based ranking algorithm. In the final experimental results, the precision of the correct allusion same as the final ranking TOP-I reached 63.74%, the precision of the correct allusion appears in the final ranking TOP-3 reached 70.66%, and the precision of the correct allusion appears in the final ranking TOP-5 reached 74.82%.","PeriodicalId":208066,"journal":{"name":"2019 International Conference on Asian Language Processing (IALP)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Asian Language Processing (IALP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IALP48816.2019.9037679","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In this paper, we propose an automated method for recognize allusions in Tang poetry. The representation of text is trained by BERT pre-trained by The SiKuQuanShu. The TOP-20 candidate allusions have the highest semantic similarity to the original sentence. Then update the ranking of candidate allusions by rule-based ranking algorithm. In the final experimental results, the precision of the correct allusion same as the final ranking TOP-I reached 63.74%, the precision of the correct allusion appears in the final ranking TOP-3 reached 70.66%, and the precision of the correct allusion appears in the final ranking TOP-5 reached 74.82%.
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