Geo-Seq2seq: Twitter User Geolocation on Noisy Data through Sequence to Sequence Learning - researchr publication authors

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Jingyu Zhang, Alexandra DeLucia, Chenyu Zhang, Mark Dredze. Geo-Seq2seq: Twitter User Geolocation on Noisy Data through Sequence to Sequence Learning. In Anna Rogers, Jordan L. Boyd-Graber, Naoaki Okazaki, editors, Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023. pages 4778-4794, Association for Computational Linguistics, 2023. [doi]

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