Construction of a concurrent corpus for a Chinese AMR annotation system and recognition of concurrent structures

HOU Wenhui; QU Weiguang; WEI Tingxin; LI Bin; GU Yanhui; ZHOU Junsheng

doi:10.16511/j.cnki.qhdxxb.2021.21.007

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Journal of Tsinghua University(Science and Technology) ›› 2021, Vol. 61 ›› Issue (9) : 920-926. DOI: 10.16511/j.cnki.qhdxxb.2021.21.007

COMPUTATIONAL LINGUISTICS

Construction of a concurrent corpus for a Chinese AMR annotation system and recognition of concurrent structures

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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.

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abstract meaning representation / concurrent structure / recognition

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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[J]. Journal of Tsinghua University(Science and Technology). 2021, 61(9): 920-926 https://doi.org/10.16511/j.cnki.qhdxxb.2021.21.007

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