MasakhaNER: Named Entity Recognition for African Languages

Adelani, David Ifeoluwa; Abbott, Jade; Neubig, Graham; D'souza, Daniel; Kreutzer, Julia; Lignos, Constantine; Palen-Michel, Chester; Buzaaba, Happy; Rijhwani, Shruti; Ruder, Sebastian; Mayhew, Stephen G.; Azime, Israel Abebe; Muhammad, Shamsuddeen Hassan; Emezue, Chris Chinenye; Nakatumba‐Nabende, Joyce; Perez, Ogayo,; Aremu, Anuoluwapo; Gitau, Catherine W.; Mbaye, Derguene; Alabi, Jesujoba O.; Yimam, Seid Muhie; Tajuddeen, Gwadabe,; Ezeani, Ignatius; Niyongabo, Rubungo Andre; Mukiibi, Jonathan; Otiende, Verrah A; Orife, Iroro; David, Davis; Ngom, Samba; Adewumi, Tosin; Rayson, Paul; Adeyemi, Mofetoluwa; Muriuki, Gerald; Anebi, Emmanuel; Chiamaka, Chukwuneke,; Odu, Nkiruka; Wairagala, Eric Peter; Samuel, Oyerinde,; Siro, Clemencia; Bateesa, Tobius Saul; Oloyede, Temilola; Wambui, Yvonne; Akinode, Victor; Nabagereka, Deborah; Katusiime, Maurice; Awokoya, Ayodele; MBOUP, Mouhamadane; Gebreyohannes, Dibora; Tilaye, Henok; Nwaike, Kelechi; Wolde, Degaga; Faye, A.; Ahia, Orevaoghene; Dossou, Bonaventure F. P.; Ogueji, Kelechi; DIOP, Thierno Ibrahima; Diallo, Abdoulaye Baniré; Akinfaderin, Adewale; Marengereke, Tendai; Osei, Salomey

doi:10.48550/arxiv.2103.11811

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2021

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“…Efforts to create training data are hampered when only few people speak or produce written content in this language, or when records of written texts in this language are not well digitised (Ruder, 2020). Dedicated work is required to curate such training data (Adelani et al, 2021).…”

Section: Additional Considerationsmentioning

confidence: 99%

Ethical and social risks of harm from Language Models

Weidinger¹,

Mellor²,

Rauh³

et al. 2021

Preprint

105

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This paper aims to help structure the risk landscape associated with large-scale Language Models (LMs). In order to foster advances in responsible innovation, an in-depth understanding of the potential risks posed by these models is needed. A wide range of established and anticipated risks are analysed in detail, drawing on multidisciplinary literature from computer science, linguistics, and social sciences.

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Section: Additional Considerationsmentioning

confidence: 99%