Joint Coreference Resolution for Zeros and non-Zeros in Arabic
October 21, 2022 ยท Declared Dead ยท ๐ Workshop on Arabic Natural Language Processing
"No code URL or promise found in abstract"
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Authors
Abdulrahman Aloraini, Sameer Pradhan, Massimo Poesio
arXiv ID
2210.12169
Category
cs.CL: Computation & Language
Cross-listed
cs.LG
Citations
4
Venue
Workshop on Arabic Natural Language Processing
Last Checked
5 months ago
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.
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