no code implementations • COLING (WANLP) 2020 • Abdulrahman Aloraini, Massimo Poesio, Ayman Alhelbawy
We present the Arabic dialect identification system that we used for the country-level subtask of the NADI challenge.
no code implementations • COLING (CRAC) 2020 • Abdulrahman Aloraini, Massimo Poesio
We propose a BERT-based multilingual model for AZP identification from predicted zero pronoun positions, and evaluate it on the Arabic and Chinese portions of OntoNotes 5. 0.
no code implementations • 21 Oct 2022 • Abdulrahman Aloraini, Sameer Pradhan, Massimo Poesio
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.
no code implementations • CRAC (ACL) 2021 • Abdulrahman Aloraini, Massimo Poesio
In pro-drop language like Arabic, Chinese, Italian, Japanese, Spanish, and many others, unrealized (null) arguments in certain syntactic positions can refer to a previously introduced entity, and are thus called anaphoric zero pronouns.
1 code implementation • COLING (CRAC) 2020 • Abdulrahman Aloraini, Juntao Yu, Massimo Poesio
No neural coreference resolver for Arabic exists, in fact we are not aware of any learning-based coreference resolver for Arabic since (Bjorkelund and Kuhn, 2014).
no code implementations • LREC 2020 • Abdulrahman Aloraini, Massimo Poesio
In languages like Arabic, Chinese, Italian, Japanese, Korean, Portuguese, Spanish, 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.