Shinnosuke Tanaka
2023
NLPeople at NADI 2023 Shared Task: Arabic Dialect Identification with Augmented Context and Multi-Stage Tuning
Mohab Elkaref
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Movina Moses
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Shinnosuke Tanaka
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James Barry
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Geeth Mel
Proceedings of ArabicNLP 2023
This paper presents the approach of the NLPeople team to the Nuanced Arabic Dialect Identification (NADI) 2023 shared task. Subtask 1 involves identifying the dialect of a source text at the country level. Our approach to Subtask 1 makes use of language-specific language models, a clustering and retrieval method to provide additional context to a target sentence, a fine-tuning strategy which makes use of the provided data from the 2020 and 2021 shared tasks, and finally, ensembling over the predictions of multiple models. Our submission achieves a macro-averaged F1 score of 87.27, ranking 1st among the other participants in the task.
NLPeople at SemEval-2023 Task 2: A Staged Approach for Multilingual Named Entity Recognition
Mohab Elkaref
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Nathan Herr
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Shinnosuke Tanaka
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Geeth De Mel
Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)
The MultiCoNER II shared task aims at detecting complex, ambiguous named entities with fine-grained types in a low context setting. Previous winning systems incorporated external knowledge bases to retrieve helpful contexts. In our submission we additionally propose splitting the NER task into two stages, a Span Extraction Step, and an Entity Classification step. Our results show that the former does not suffer from the low context setting comparably, and in so leading to a higher overall performance for an external KB-assisted system. We achieve 3rd place on the multilingual track and an average of 6th place overall.
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Co-authors
- Mohab El-karef 2
- Movina Moses 1
- James Barry 1
- Geeth Mel 1
- Nathan Herr 1
- show all...