Papers by Siti Oryza Khairunnisa

2 papers
Towards a Standardized Dataset on Indonesian Named Entity Recognition (2020.aacl-srw)

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Challenge: Named entity recognition (NER) tasks in the Indonesian language are still lacking data for the majority of languages, including Indonesian.
Approach: They re-annotated an open dataset with 2,000 sentences and compared the results with a bidirectional long short-term memory and conditional random field approach.
Outcome: The proposed approach improved the prediction score and consistent organization tag for the Indonesian language.
From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding (2021.naacl-main)

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Challenge: Lack of publicly available evaluation data for low-resource languages limits progress in SLU . despite advances in neural modeling for slot and intent detection, datasets for SLU remain limited.
Approach: They propose a joint learning approach with English SLU training data and non-English auxiliary tasks from raw text, syntax and translation for transfer.
Outcome: The proposed model can learn English SLU training data and non-English auxiliary tasks from raw text, syntax and translation for transfer.

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