对话中的回指解析:用于codi - cra2021共享任务的DFKI-TalkingRobots系统描述

Proceedings of the CODI-CRAC 2021 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue Pub Date : 1900-01-01 DOI:10.18653/v1/2021.codi-sharedtask.3

Tatiana Anikina, Cennet Oguz, N. Skachkova, Siyu Tao, S. Upadhyaya, Ivana Kruijff-Korbayová

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引用次数: 7

摘要

我们描述了DFKI-TalkingRobots团队为CODI-CRAC 2021共享任务开发的关于对话中回指解析的系统。该系统由三个子系统组成:(1)工作空间共参考系统(WCS)使用基于嵌入的语义相似度与词汇特征启发式相结合的方法增量聚类提及;(2)提及到提及(M2M)共参考解析系统对相同实体提及;(3)语篇指示消解(DDR)系统采用暹罗网络检测语篇回指-先行词对。WCS在评估测试集的平均f1得分为55.6%，M2M为57.2%，DDR为21.5%。

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Anaphora Resolution in Dialogue: Description of the DFKI-TalkingRobots System for the CODI-CRAC 2021 Shared-Task

We describe the system developed by the DFKI-TalkingRobots Team for the CODI-CRAC 2021 Shared-Task on anaphora resolution in dialogue. Our system consists of three subsystems: (1) the Workspace Coreference System (WCS) incrementally clusters mentions using semantic similarity based on embeddings combined with lexical feature heuristics; (2) the Mention-to-Mention (M2M) coreference resolution system pairs same entity mentions; (3) the Discourse Deixis Resolution (DDR) system employs a Siamese Network to detect discourse anaphor-antecedent pairs. WCS achieved F1-score of 55.6% averaged across the evaluation test sets, M2M achieved 57.2% and DDR achieved 21.5%.

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Proceedings of the CODI-CRAC 2021 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue

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