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EMNLP Findings2021

Do UD Trees Match Mention Spans in Coreference Annotations?

Martin Popel, Zdenek Zabokrtský, Anna Nedoluzhko, Michal Novák, Daniel Zeman

摘要

One can find dozens of data resources for various languages in which coreference -a relation between two or more expressions that refer to the same real-world entity -is manually annotated. One could also assume that such expressions usually constitute syntactically meaningful units; however, mention spans have been annotated simply by delimiting token intervals in most coreference projects, i.e., independently of any syntactic representation. We argue that it could be advantageous to make syntactic and coreference annotations convergent in the long term. We present a pilot empirical study focused on matches and mismatches between handannotated linear mention spans and automatically parsed syntactic trees that follow Universal Dependencies conventions. The study covers 9 datasets for 8 different languages.

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它引用的 Paper2

  1. CorefQA: Coreference Resolution as Query-based Span PredictionWei Wu, Fei Wang, Arianna Yuan, Fei Wu 等ACL 2020 · 153 次引用
  2. Universal Dependencies according to BERT: both more specific and more generalTomasz Limisiewicz, David Marecek, Rudolf RosaEMNLP Findings 2020 · 14 次引用

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