1. School of Computer and Electronic Information, Nanjing Normal University, Nanjing 210023, China; 2. School of Chinese Language and Literature, Nanjing Normal University, Nanjing 210097, China; 3. International College for Chinese Studies, Nanjing Normal University, Nanjing 210097, China
Abstract：Concurrent structures which are shared by the predicate-object phrase and the subject-predicate phrase in one sentence are common Chinese verb structures. However, their complexity makes such structures difficult to analyze. Therefore, recognition of concurrent structures is important for semantic analyses and downstream tasks. However, there are few existing concurrent corpora with no concurrent corpora for the Chinese AMR annotation system. This study summarizes a set of concurrent corpus annotation specifications and builds a concurrent corpus for Chinese AMR annotation systems which contains 4 760 concurrent sentences. The LA-BiLSTM-CRF model is then used to recognize concurrent structures with an F1 score of 86.06%. The recognition results are analyzed to determine needed improvements.
侯文惠, 曲维光, 魏庭新, 李斌, 顾彦慧, 周俊生. 面向中文AMR标注体系的兼语语料库构建及兼语结构识别[J]. 清华大学学报（自然科学版）, 2021, 61(9): 920-926.
HOU Wenhui, QU Weiguang, WEI Tingxin, LI Bin, GU Yanhui, ZHOU Junsheng. Construction of a concurrent corpus for a Chinese AMR annotation system and recognition of concurrent structures. Journal of Tsinghua University(Science and Technology), 2021, 61(9): 920-926.
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2021, Vol. 61 
