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This report describes GMU's sentiment analysis system for the SemEval-2023 shared task AfriSenti-SemEval.
Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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Unsupervised cross-lingual representation learning at scale
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1911
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Sharing a world of difference: the earth’s linguistic, cultural and biological diversity
Tove Skutnabb-Kangas, Luisa Maffi, and David Harmon. 2003 · 2003
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Recursive deep models for semantic compositionality over a sentiment treebank
Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D. Manning, Andrew Ng, and Christopher Potts. 2013 · 2013
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PanLex: Building a resource for panlingual lexical translation
David Kamholz, Jonathan Pool, and Susan Colowick. 2014 · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
Earlier work this paper cites.
BERT: pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Earlier work this paper cites.
Parameter-efficient transfer learning for nlp
Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski, Bruna Morrone, Quentin De Laroussilhe, Andrea Gesmundo, Mona Attariyan, and Sylvain Gelly. 2019 · 2019
Earlier work this paper cites.
Generalized data augmentation for low-resource translation
Mengzhou Xia, Xiang Kong, Antonios Anastasopoulos, and Graham Neubig. 2019 · 2019
Earlier work this paper cites.
The state and fate of linguistic diversity and inclusion in the NLP world
Pratik Joshi, Sebastin Santy, Amar Budhiraja, Kalika Bali, and Monojit Choudhury. 2020 · 2020
Cited alongside, same era.
MAD-G: Multilingual adapter generation for efficient cross-lingual transfer
Alan Ansell, Edoardo Maria Ponti, Jonas Pfeiffer, Sebastian Ruder, Goran Glavaš, Ivan Vulić, and Anna Korhonen. 2021 · 2021
Cited alongside, same era.
Sentiment classification in swahili language using multilingual bert
Gati L Martin, Medard E Mswahili, and Young-Seob Jeong. 2021 · 2021
Cited alongside, same era.
When being unseen from mBERT is just the beginning: Handling new languages with multilingual language models
Benjamin Muller, Antonios Anastasopoulos, Benoît Sagot, and Djamé Seddah. 2021 · 2021
Cited alongside, same era.
Small data? no problem! exploring the viability of pretrained multilingual language models for low-resourced languages
Kelechi Ogueji, Yuxin Zhu, and Jimmy Lin. 2021 · 2021
AfroLM: A self-active learning-based multilingual pretrained language model for 23 African languages
Bonaventure F. P. Dossou, Atnafu Tonja, Oreen Yousuf, Salomey Osei, Abigail Oppong, Iyanuoluwa Shode, Oluwabusayo Olufunke Awoyomi, and Chris Emezue. 2022 · 2022
Later among the works it cites.
Phylogeny-inspired adaptation of multilingual models to new languages
Fahim Faisal and Antonios Anastasopoulos. 2022 · 2022
Later among the works it cites.
A sentiment corpus for south african under-resourced languages in a multilingual context
Ronny Mabokela and Tim Schlippe. 2022 · 2022
Later among the works it cites.
Swahbert: Language model of swahili
Gati Martin, Medard Edmund Mswahili, Young-Seob Jeong, and Jeong Young-Seob. 2022 · 2022
Later among the works it cites.
Ethics sheet for automatic emotion recognition and sentiment analysis
Saif M Mohammad. 2022 · 2022
Later among the works it cites.
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Cited alongside, same era.
Adapting pre-trained language models to African languages via multilingual adaptive fine-tuning
Jesujoba O. Alabi, David Ifeoluwa Adelani, Marius Mosbach, and Dietrich Klakow. 2022 · 2022
Cited alongside, same era.
Language adapters for large-scale mt: The gmu system for the wmt 2022 large-scale machine translation evaluation for african languages shared task
Md Mahfuz Ibn Alam and Antonios Anastasopoulos. 2022 · 2022
Cited alongside, same era.
Systematic inequalities in language technology performance across the world’s languages
Damian Blasi, Antonios Anastasopoulos, and Graham Neubig. 2022 · 2022
Cited alongside, same era.
Efficient hierarchical domain adaptation for pretrained language models
Alexandra Chronopoulou, Matthew Peters, and Jesse Dodge. 2022 · 2022
Cited alongside, same era.
AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages
Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Abinew Ali Ayele, Nedjma Ousidhoum, David Ifeoluwa Adelani, Seid Muhie Yimam, Ibrahim Sa’id Ahmad, Meriem Beloucif, Saif M. Mohammad, Sebastian Ruder, Oumaima Hourrane, Pavel Brazdil, Felermino Dário Mário António Ali, Davis David, Salomey Osei, Bello Shehu Bello, Falalu Ibrahim, Tajuddeen Gwadabe, Samuel Rutunda, Tadesse Belay, Wendimu Baye Messelle, Hailu Beshada Balcha, Sisay Adugna Chala, Hagos Tesfahun Gebremichael, Bernard Opoku, and Steven Arthur. 2023a
Cited in the paper.
Shamsuddeen Hassan Muhammad, David Ifeoluwa Adelani, Sebastian Ruder, Ibrahim Sa’id Ahmad, Idris Abdulmumin, Bello Shehu Bello, Monojit Choudhury, Chris Chinenye Emezue, Saheed Salahudeen Abdullahi, Anuoluwapo Aremu, Alípio Jorge, and Pavel Brazdil. 2022 · 2022
Later among the works it cites.
SemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval)
Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Seid Muhie Yimam, David Ifeoluwa Adelani, Ibrahim Sa’id Ahmad, Nedjma Ousidhoum, Abinew Ali Ayele, Saif M. Mohammad, Meriem Beloucif, and Sebastian Ruder. 2023b · 2023
Closest in time.
Ruoyu Xie and Antonios Anastasopoulos. 2023 · 2023
Closest in time.