DramaCoref:德国戏剧戏剧的混合共参考分辨率系统

Janis Pagel, Nils Reiter
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引用次数: 1

摘要

我们提出了一个解决戏剧戏剧相互参照的系统,DramaCoref。该系统使用神经网络技术来提供潜在提及的列表。这些提及使用通用规则和特定于领域的规则分配给公共实体。我们发现,与其他领域的语料库相比,DramaCoref在戏剧戏剧上表现良好,并从戏剧戏剧特定信息的包含中获益。在性能最好的设置中,当使用自动检测提及时,它的CoNLL得分为32%,而当使用黄金提及时,它的得分为55%。单规则得分精度高;然而,在其他领域设计的规则通常不适用或产生令人不满意的结果。误差分析表明,提及检测是系统的主要弱点,为今后的改进提供了方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DramaCoref: A Hybrid Coreference Resolution System for German Theater Plays
We present a system for resolving coreference on theater plays, DramaCoref. The system uses neural network techniques to provide a list of potential mentions. These mentions are assigned to common entities using generic and domain-specific rules. We find that DramaCoref works well on the theater plays when compared to corpora from other domains and profits from the inclusion of information specific to theater plays. On the best-performing setup, it achieves a CoNLL score of 32% when using automatically detected mentions and 55% when using gold mentions. Single rules achieve high precision scores; however, rules designed on other domains are often not applicable or yield unsatisfactory results. Error analysis shows that the mention detection is the main weakness of the system, providing directions for future improvements.
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