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Multilingual Coreference Resolution in Multiparty Dialogue
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Journal Article
Multilingual Coreference Resolution in Multiparty Dialogue
2023
Overview
Existing multiparty dialogue datasets for entity coreference resolution are nascent, and many challenges are still unaddressed. We create a large-scale dataset,
(MMC), for this task based on TV transcripts. Due to the availability of gold-quality subtitles in multiple languages, we propose
the annotations to create silver coreference resolution data in other languages (Chinese and Farsi) via annotation projection. On the gold (English) data, off-the-shelf models perform relatively poorly on MMC, suggesting that MMC has broader coverage of multiparty coreference than prior datasets. On the silver data, we find success both using it for data augmentation and training from scratch, which effectively simulates the zero-shot cross-lingual setting.
Publisher
MIT Press,MIT Press Journals, The,The MIT Press
Subject
