Abstract Abdulrahman Aloraini 22 April 2020
Title: Cross-lingual Zero Pronoun Resolution
In languages like Arabic, Chinese, Italian, Japanese, and many others, predicate arguments in certain syntactic positions are not realized instead of being realized as overt pronouns, and are thus called zero- or null-pronouns. Identifying and resolving such omitted arguments is crucial to machine translation, information extraction and other NLP tasks, but depends heavily on semantic coherence and lexical relationships. We propose a BERT-based cross-lingual model for zero pronoun resolution, and evaluate it on the Arabic and Chinese portions of OntoNotes 5.0. As far as we know, this is the first neural model of zero-pronoun resolution for Arabic; and also outperforms the state-of-the-art for Chinese.