Search Results for author: Abdulrahman Aloraini

Found 6 papers, 1 papers with code

Anaphoric Zero Pronoun Identification: A Multilingual Approach

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.

Transfer Learning

Joint Coreference Resolution for Zeros and non-Zeros in Arabic

no code implementations21 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.

coreference-resolution

Data Augmentation Methods for Anaphoric Zero Pronouns

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.

Data Augmentation

Neural Coreference Resolution for Arabic

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).

coreference-resolution

Cross-lingual Zero Pronoun Resolution

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.

Machine Translation Translation

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