UM6P & UL at WojoodNER shared task: Improving Multi-Task Learning for Flat and Nested Arabic Named Entity Recognition Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.18653/v1/2023.arabicnlp-1.87
In this paper, we present our submitted system for the WojoodNER Shared Task, addressing both flat and nested Arabic Named Entity Recognition (NER). Our system is based on a BERT-based multi-task learning model that leverages the existing Arabic Pretrained Language Models (PLMs) to encode the input sentences. To enhance the performance of our model, we have employed a multi-task loss variance penalty and combined several training objectives, including the Cross-Entropy loss, the Dice loss, the Tversky loss, and the Focal loss. Besides, we have studied the performance of three existing Arabic PLMs for sentence encoding. On the official test set, our system has obtained a micro-F1 score of 0.9113 and 0.9303 for Flat (Sub-Task 1) and Nested (Sub-Task 2) NER, respectively. It has been ranked in the 6th and the 2nd positions among all participating systems in Sub-Task 1 and Sub-Task 2, respectively.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.18653/v1/2023.arabicnlp-1.87
- https://aclanthology.org/2023.arabicnlp-1.87.pdf
- OA Status
- gold
- References
- 20
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4389518409
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4389518409Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.18653/v1/2023.arabicnlp-1.87Digital Object Identifier
- Title
-
UM6P & UL at WojoodNER shared task: Improving Multi-Task Learning for Flat and Nested Arabic Named Entity RecognitionWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-01-01Full publication date if available
- Authors
-
Abdelkader El Mahdaouy, Salima Lamsiyah, Hamza Alami, Christoph Schommer, Ismaïl BerradaList of authors in order
- Landing page
-
https://doi.org/10.18653/v1/2023.arabicnlp-1.87Publisher landing page
- PDF URL
-
https://aclanthology.org/2023.arabicnlp-1.87.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://aclanthology.org/2023.arabicnlp-1.87.pdfDirect OA link when available
- Concepts
-
Computer science, Task (project management), Named-entity recognition, Natural language processing, Artificial intelligence, Speech recognition, Sentence, Dice, Arabic, Language model, ENCODE, Entropy (arrow of time), Mathematics, Statistics, Engineering, Linguistics, Chemistry, Systems engineering, Quantum mechanics, Physics, Biochemistry, Philosophy, GeneTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
20Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W4385656585, https://openalex.org/W1728883788, https://openalex.org/W4221025428, https://openalex.org/W1697700638, https://openalex.org/W2803609931, https://openalex.org/W4281476834, https://openalex.org/W3134155512, https://openalex.org/W2685298434, https://openalex.org/W2047477415, https://openalex.org/W2890224137, https://openalex.org/W2857028992, https://openalex.org/W2033599040, https://openalex.org/W4385572487, https://openalex.org/W2104912629, https://openalex.org/W2970773251, https://openalex.org/W2884561390, https://openalex.org/W3034328552, https://openalex.org/W3011594683, https://openalex.org/W3133440961, https://openalex.org/W3176169354 |
| referenced_works_count | 20 |
| abstract_inverted_index.1 | 138 |
| abstract_inverted_index.a | 28, 57, 104 |
| abstract_inverted_index.1) | 114 |
| abstract_inverted_index.2) | 118 |
| abstract_inverted_index.2, | 141 |
| abstract_inverted_index.In | 0 |
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| abstract_inverted_index.On | 95 |
| abstract_inverted_index.To | 47 |
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| abstract_inverted_index.is | 25 |
| abstract_inverted_index.of | 51, 87, 107 |
| abstract_inverted_index.on | 27 |
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| abstract_inverted_index.we | 3, 54, 82 |
| abstract_inverted_index.2nd | 130 |
| abstract_inverted_index.6th | 127 |
| abstract_inverted_index.Our | 23 |
| abstract_inverted_index.all | 133 |
| abstract_inverted_index.and | 16, 62, 77, 109, 115, 128, 139 |
| abstract_inverted_index.for | 8, 92, 111 |
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| abstract_inverted_index.our | 5, 52, 100 |
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| abstract_inverted_index.Dice | 72 |
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| abstract_inverted_index.Task, | 12 |
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| abstract_inverted_index.based | 26 |
| abstract_inverted_index.input | 45 |
| abstract_inverted_index.loss, | 70, 73, 76 |
| abstract_inverted_index.loss. | 80 |
| abstract_inverted_index.model | 32 |
| abstract_inverted_index.score | 106 |
| abstract_inverted_index.three | 88 |
| abstract_inverted_index.(NER). | 22 |
| abstract_inverted_index.(PLMs) | 41 |
| abstract_inverted_index.0.9113 | 108 |
| abstract_inverted_index.0.9303 | 110 |
| abstract_inverted_index.Arabic | 18, 37, 90 |
| abstract_inverted_index.Entity | 20 |
| abstract_inverted_index.Models | 40 |
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| abstract_inverted_index.encode | 43 |
| abstract_inverted_index.model, | 53 |
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| abstract_inverted_index.paper, | 2 |
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| abstract_inverted_index.(Sub-Task | 113, 117 |
| abstract_inverted_index.WojoodNER | 10 |
| abstract_inverted_index.encoding. | 94 |
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| abstract_inverted_index.respectively. | 120, 142 |
| cited_by_percentile_year | |
| countries_distinct_count | 2 |
| institutions_distinct_count | 5 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/16 |
| sustainable_development_goals[0].score | 0.5699999928474426 |
| sustainable_development_goals[0].display_name | Peace, Justice and strong institutions |
| citation_normalized_percentile.value | 0.19603289 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |