Abstract:The subtask of identifying coordinate structures in Chinese dependency analysis is a chal lenging problem. The accuracy of coordinate word recognition remains below the average. To address this problem, we propose an automatic identification method based on large-scale unlabeled corpus. We then integrate a set of new features corresponding to the collected word pairs into the dependency parser. Specifically, our proposed method is based on the presence of easy-to-identify coordinate fragments. Our method can b… Show more
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