{"title":"Joint Coreference Resolution for Zeros and non-Zeros in Arabic","authors":"Abdulrahman Aloraini, Sameer Pradhan, Massimo Poesio","doi":"10.48550/arXiv.2210.12169","DOIUrl":null,"url":null,"abstract":"Most existing proposals about anaphoric zero pronoun (AZP) resolution regard full mention coreference and AZP resolution as two independent tasks, even though the two tasks are clearly related. The main issues that need tackling to develop a joint model for zero and non-zero mentions are the difference between the two types of arguments (zero pronouns, being null, provide no nominal information) and the lack of annotated datasets of a suitable size in which both types of arguments are annotated for languages other than Chinese and Japanese. In this paper, we introduce two architectures for jointly resolving AZPs and non-AZPs, and evaluate them on Arabic, a language for which, as far as we know, there has been no prior work on joint resolution. Doing this also required creating a new version of the Arabic subset of the standard coreference resolution dataset used for the CoNLL-2012 shared task (Pradhan et al.,2012) in which both zeros and non-zeros are included in a single dataset.","PeriodicalId":355149,"journal":{"name":"Workshop on Arabic Natural Language Processing","volume":"147 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Workshop on Arabic Natural Language Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.48550/arXiv.2210.12169","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Most existing proposals about anaphoric zero pronoun (AZP) resolution regard full mention coreference and AZP resolution as two independent tasks, even though the two tasks are clearly related. The main issues that need tackling to develop a joint model for zero and non-zero mentions are the difference between the two types of arguments (zero pronouns, being null, provide no nominal information) and the lack of annotated datasets of a suitable size in which both types of arguments are annotated for languages other than Chinese and Japanese. In this paper, we introduce two architectures for jointly resolving AZPs and non-AZPs, and evaluate them on Arabic, a language for which, as far as we know, there has been no prior work on joint resolution. Doing this also required creating a new version of the Arabic subset of the standard coreference resolution dataset used for the CoNLL-2012 shared task (Pradhan et al.,2012) in which both zeros and non-zeros are included in a single dataset.
大多数关于回指零代词(AZP)消解的建议将全指共指和AZP消解视为两个独立的任务,尽管这两个任务之间存在明显的联系。为零和非零提及开发联合模型需要解决的主要问题是两种类型参数之间的差异(零代词,为null,不提供标称信息),以及缺乏适当大小的注释数据集,其中两种类型的参数都为中文和日语以外的语言进行了注释。在本文中,我们介绍了两种用于联合解析azp和非azp的架构,并在阿拉伯语上对它们进行了评估,据我们所知,阿拉伯语在联合解析方面还没有任何工作。这样做还需要创建用于CoNLL-2012共享任务(Pradhan et al.,2012)的标准共参考分辨率数据集的阿拉伯语子集的新版本,其中零和非零都包含在单个数据集中。