Automatic Recognition of Allusions in Tang Poetry Based on BERT

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%.