Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Abu Farha, Ibrahim"'
Publikováno v:
In Journal of King Saud University - Computer and Information Sciences July 2021 33(6):677-692
Autor:
Abu Farha, Ibrahim, Magdy, Walid
Publikováno v:
In Information Processing and Management March 2021 58(2)
Autor:
Abu Farha, Ibrahim, Magdy, Walid
Publikováno v:
Abu Farha, I & Magdy, W 2023, The Effect of Arabic Dialect Familiarity on Data Annotation . in H Bouamor, H Al-Khalifa, K Darwish, O Rambow, F Bougares, A Abdelali, N Tomeh, S Khalifa & W Zaghouani (eds), Proceedings of the The Seventh Arabic Natural Language Processing Workshop (WANLP) . Stroudsburg, PA, USA, pp. 399-408, The Seventh Arabic Natural Language Processing Workshop, 2022, Abu Dhabi, United Arab Emirates, 8/12/22 . < https://aclanthology.org/2022.wanlp-1.39 >
Data annotation is the foundation of most natural language processing (NLP) tasks. However, data annotation is complex and there is often no specific correct label, especially in subjective tasks. Data annotation is affected by the annotators' abilit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3094::6d37e25b1cfc68c69936c32056308467
https://hdl.handle.net/20.500.11820/dbd74afe-90f2-4107-b379-42274227e303
https://hdl.handle.net/20.500.11820/dbd74afe-90f2-4107-b379-42274227e303
Publikováno v:
Abu Farha, I, Wilson, S, Oprea, S V & Magdy, W 2023, Sarcasm Detection is Way Too Easy! An Empirical Comparison of Human and Machine Sarcasm Detection . in Y Goldberg, Z Kozareva & Y Zhang (eds), Findings of the Association for Computational Linguistics: EMNLP 2022 . Abu Dhabi, pp. 5284–5295, The 2022 Conference on Empirical Methods in Natural Language Processing, Abu Dhabi, United Arab Emirates, 7/12/22 . < https://aclanthology.org/2022.findings-emnlp.387/ >
Recently, author-annotated sarcasm datasets, which focus on intended, rather than perceived sarcasm, have been introduced. Although datasets collected using first-party annotation have important benefits, there is no comparison of human and machine p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3094::22ea1d5e48fb9bc87b5906de5ca841ec
https://hdl.handle.net/20.500.11820/dc22eb7f-a486-42ac-b51f-18b2dbe96355
https://hdl.handle.net/20.500.11820/dc22eb7f-a486-42ac-b51f-18b2dbe96355
Publikováno v:
Abu Farha, I, Zaghouani, W & Magdy, W 2021, Overview of the WANLP 2021 Shared Task on Sarcasm and Sentiment Detection in Arabic . in Proceedings of the Sixth Arabic Natural Language Processing Workshop . pp. 296-305, The Sixth Arabic Natural Language Processing Workshop, 19/04/21 . < https://www.aclweb.org/anthology/2021.wanlp-1.36/ >
This paper provides an overview of the WANLP 2021 shared task on sarcasm and sentiment detection in Arabic. The shared task has two subtasks: sarcasm detection (subtask 1) and sentiment analysis (subtask 2). This shared task aims to promote and bring
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3094::7fe3a83acaaafc1d27bc05e5bc714df2
https://hdl.handle.net/20.500.11820/d475d0bc-a0f1-4130-8b07-87d93a28729d
https://hdl.handle.net/20.500.11820/d475d0bc-a0f1-4130-8b07-87d93a28729d
Autor:
Abu Farha, Ibrahim, Magdy, Walid
Publikováno v:
Abu Farha, I & Magdy, W 2021, Benchmarking Transformer-based Language Models for Arabic Sentiment and Sarcasm Detection . in Proceedings of the Sixth Arabic Natural Language Processing Workshop . pp. 21-31, The Sixth Arabic Natural Language Processing Workshop, 19/04/21 . < https://www.aclweb.org/anthology/2021.wanlp-1.3 >
The introduction of transformer-based language models has been a revolutionary step for natural language processing (NLP) research. These models, such as BERT, GPT and ELECTRA, led to state-of-the-art performance in many NLP tasks. Most of these mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3094::6111d6beab7ad46685fa51418d5832ff
https://www.pure.ed.ac.uk/ws/files/213883113/Benchmarking_Transformer_based_ABU_FARHA_DOA22022021_VOR_CC_BY.pdf
https://www.pure.ed.ac.uk/ws/files/213883113/Benchmarking_Transformer_based_ABU_FARHA_DOA22022021_VOR_CC_BY.pdf
Autor:
Abu Farha, Ibrahim, Magdy, Walid
Publikováno v:
Abu Farha, I & Magdy, W 2020, From Arabic Sentiment Analysis to Sarcasm Detection: The ArSarcasm Dataset . in Proceedings of the 4th Workshop on Open-Source Arabic Corpora and Processing Tools . pp. 32-39, The 4th Workshop on Open-Source Arabic Corpora and Processing Tools, Marseille, France, 12/05/20 . < https://www.aclweb.org/anthology/2020.osact-1.5/ >
Sarcasm is one of the main challenges for sentiment analysis systems. Its complexity comes from the expression of opinion using implicit indirect phrasing. In this paper, we present ArSarcasm, an Arabic sarcasm detection dataset, which was created th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3094::99a88a2caf99f9dc406acd3c3863dd01
https://hdl.handle.net/20.500.11820/057e9c84-0636-4b9b-98e9-ad45d3422b05
https://hdl.handle.net/20.500.11820/057e9c84-0636-4b9b-98e9-ad45d3422b05