Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Buzaaba, Happy"'
Autor:
Adelani, David Ifeoluwa, Ojo, Jessica, Azime, Israel Abebe, Zhuang, Jian Yun, Alabi, Jesujoba O., He, Xuanli, Ochieng, Millicent, Hooker, Sara, Bukula, Andiswa, Lee, En-Shiun Annie, Chukwuneke, Chiamaka, Buzaaba, Happy, Sibanda, Blessing, Kalipe, Godson, Mukiibi, Jonathan, Kabongo, Salomon, Yuehgoh, Foutse, Setaka, Mmasibidi, Ndolela, Lolwethu, Odu, Nkiruka, Mabuya, Rooweither, Muhammad, Shamsuddeen Hassan, Osei, Salomey, Samb, Sokhar, Guge, Tadesse Kebede, Stenetorp, Pontus
Despite the widespread adoption of Large language models (LLMs), their remarkable capabilities remain limited to a few high-resource languages. Additionally, many low-resource languages (e.g. African languages) are often evaluated only on basic text
Externí odkaz:
http://arxiv.org/abs/2406.03368
Autor:
Dione, Cheikh M. Bamba, Adelani, David, Nabende, Peter, Alabi, Jesujoba, Sindane, Thapelo, Buzaaba, Happy, Muhammad, Shamsuddeen Hassan, Emezue, Chris Chinenye, Ogayo, Perez, Aremu, Anuoluwapo, Gitau, Catherine, Mbaye, Derguene, Mukiibi, Jonathan, Sibanda, Blessing, Dossou, Bonaventure F. P., Bukula, Andiswa, Mabuya, Rooweither, Tapo, Allahsera Auguste, Munkoh-Buabeng, Edwin, Koagne, victoire Memdjokam, Kabore, Fatoumata Ouoba, Taylor, Amelia, Kalipe, Godson, Macucwa, Tebogo, Marivate, Vukosi, Gwadabe, Tajuddeen, Elvis, Mboning Tchiaze, Onyenwe, Ikechukwu, Atindogbe, Gratien, Adelani, Tolulope, Akinade, Idris, Samuel, Olanrewaju, Nahimana, Marien, Musabeyezu, Théogène, Niyomutabazi, Emile, Chimhenga, Ester, Gotosa, Kudzai, Mizha, Patrick, Agbolo, Apelete, Traore, Seydou, Uchechukwu, Chinedu, Yusuf, Aliyu, Abdullahi, Muhammad, Klakow, Dietrich
In this paper, we present MasakhaPOS, the largest part-of-speech (POS) dataset for 20 typologically diverse African languages. We discuss the challenges in annotating POS for these languages using the UD (universal dependencies) guidelines. We conduc
Externí odkaz:
http://arxiv.org/abs/2305.13989
Autor:
Ogundepo, Odunayo, Gwadabe, Tajuddeen R., Rivera, Clara E., Clark, Jonathan H., Ruder, Sebastian, Adelani, David Ifeoluwa, Dossou, Bonaventure F. P., DIOP, Abdou Aziz, Sikasote, Claytone, Hacheme, Gilles, Buzaaba, Happy, Ezeani, Ignatius, Mabuya, Rooweither, Osei, Salomey, Emezue, Chris, Kahira, Albert Njoroge, Muhammad, Shamsuddeen H., Oladipo, Akintunde, Owodunni, Abraham Toluwase, Tonja, Atnafu Lambebo, Shode, Iyanuoluwa, Asai, Akari, Ajayi, Tunde Oluwaseyi, Siro, Clemencia, Arthur, Steven, Adeyemi, Mofetoluwa, Ahia, Orevaoghene, Aremu, Anuoluwapo, Awosan, Oyinkansola, Chukwuneke, Chiamaka, Opoku, Bernard, Ayodele, Awokoya, Otiende, Verrah, Mwase, Christine, Sinkala, Boyd, Rubungo, Andre Niyongabo, Ajisafe, Daniel A., Onwuegbuzia, Emeka Felix, Mbow, Habib, Niyomutabazi, Emile, Mukonde, Eunice, Lawan, Falalu Ibrahim, Ahmad, Ibrahim Said, Alabi, Jesujoba O., Namukombo, Martin, Chinedu, Mbonu, Phiri, Mofya, Putini, Neo, Mngoma, Ndumiso, Amuok, Priscilla A., Iro, Ruqayya Nasir, Adhiambo, Sonia
African languages have far less in-language content available digitally, making it challenging for question answering systems to satisfy the information needs of users. Cross-lingual open-retrieval question answering (XOR QA) systems -- those that re
Externí odkaz:
http://arxiv.org/abs/2305.06897
Autor:
Adelani, David Ifeoluwa, Neubig, Graham, Ruder, Sebastian, Rijhwani, Shruti, Beukman, Michael, Palen-Michel, Chester, Lignos, Constantine, Alabi, Jesujoba O., Muhammad, Shamsuddeen H., Nabende, Peter, Dione, Cheikh M. Bamba, Bukula, Andiswa, Mabuya, Rooweither, Dossou, Bonaventure F. P., Sibanda, Blessing, Buzaaba, Happy, Mukiibi, Jonathan, Kalipe, Godson, Mbaye, Derguene, Taylor, Amelia, Kabore, Fatoumata, Emezue, Chris Chinenye, Aremu, Anuoluwapo, Ogayo, Perez, Gitau, Catherine, Munkoh-Buabeng, Edwin, Koagne, Victoire M., Tapo, Allahsera Auguste, Macucwa, Tebogo, Marivate, Vukosi, Mboning, Elvis, Gwadabe, Tajuddeen, Adewumi, Tosin, Ahia, Orevaoghene, Nakatumba-Nabende, Joyce, Mokono, Neo L., Ezeani, Ignatius, Chukwuneke, Chiamaka, Adeyemi, Mofetoluwa, Hacheme, Gilles Q., Abdulmumin, Idris, Ogundepo, Odunayo, Yousuf, Oreen, Ngoli, Tatiana Moteu, Klakow, Dietrich
African languages are spoken by over a billion people, but are underrepresented in NLP research and development. The challenges impeding progress include the limited availability of annotated datasets, as well as a lack of understanding of the settin
Externí odkaz:
http://arxiv.org/abs/2210.12391
Autor:
Adelani, David Ifeoluwa, Alabi, Jesujoba Oluwadara, Fan, Angela, Kreutzer, Julia, Shen, Xiaoyu, Reid, Machel, Ruiter, Dana, Klakow, Dietrich, Nabende, Peter, Chang, Ernie, Gwadabe, Tajuddeen, Sackey, Freshia, Dossou, Bonaventure F. P., Emezue, Chris Chinenye, Leong, Colin, Beukman, Michael, Muhammad, Shamsuddeen Hassan, Jarso, Guyo Dub, Yousuf, Oreen, Rubungo, Andre Niyongabo, Hacheme, Gilles, Wairagala, Eric Peter, Nasir, Muhammad Umair, Ajibade, Benjamin Ayoade, Ajayi, Tunde Oluwaseyi, Gitau, Yvonne Wambui, Abbott, Jade, Ahmed, Mohamed, Ochieng, Millicent, Aremu, Anuoluwapo, Ogayo, Perez, Mukiibi, Jonathan, Kabore, Fatoumata Ouoba, Kalipe, Godson Koffi, Mbaye, Derguene, Tapo, Allahsera Auguste, Koagne, Victoire Memdjokam, Munkoh-Buabeng, Edwin, Wagner, Valencia, Abdulmumin, Idris, Awokoya, Ayodele, Buzaaba, Happy, Sibanda, Blessing, Bukula, Andiswa, Manthalu, Sam
Recent advances in the pre-training of language models leverage large-scale datasets to create multilingual models. However, low-resource languages are mostly left out in these datasets. This is primarily because many widely spoken languages are not
Externí odkaz:
http://arxiv.org/abs/2205.02022
Autor:
Adewumi, Tosin, Adeyemi, Mofetoluwa, Anuoluwapo, Aremu, Peters, Bukola, Buzaaba, Happy, Samuel, Oyerinde, Rufai, Amina Mardiyyah, Ajibade, Benjamin, Gwadabe, Tajudeen, Traore, Mory Moussou Koulibaly, Ajayi, Tunde, Muhammad, Shamsuddeen, Baruwa, Ahmed, Owoicho, Paul, Ogunremi, Tolulope, Ngigi, Phylis, Ahia, Orevaoghene, Nasir, Ruqayya, Liwicki, Foteini, Liwicki, Marcus
Dialogue generation is an important NLP task fraught with many challenges. The challenges become more daunting for low-resource African languages. To enable the creation of dialogue agents for African languages, we contribute the first high-quality d
Externí odkaz:
http://arxiv.org/abs/2204.08083
Autor:
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, Azime, Israel Abebe, Muhammad, Shamsuddeen, Emezue, Chris Chinenye, Nakatumba-Nabende, Joyce, Ogayo, Perez, Aremu, Anuoluwapo, Gitau, Catherine, Mbaye, Derguene, Alabi, Jesujoba, Yimam, Seid Muhie, Gwadabe, Tajuddeen, Ezeani, Ignatius, Niyongabo, Rubungo Andre, Mukiibi, Jonathan, Otiende, Verrah, Orife, Iroro, David, Davis, Ngom, Samba, Adewumi, Tosin, Rayson, Paul, Adeyemi, Mofetoluwa, Muriuki, Gerald, Anebi, Emmanuel, Chukwuneke, Chiamaka, Odu, Nkiruka, Wairagala, Eric Peter, Oyerinde, Samuel, 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, Abdoulaye, Sibanda, Blessing, Ahia, Orevaoghene, Dossou, Bonaventure F. P., Ogueji, Kelechi, DIOP, Thierno Ibrahima, Diallo, Abdoulaye, Akinfaderin, Adewale, Marengereke, Tendai, Osei, Salomey
We take a step towards addressing the under-representation of the African continent in NLP research by creating the first large publicly available high-quality dataset for named entity recognition (NER) in ten African languages, bringing together a v
Externí odkaz:
http://arxiv.org/abs/2103.11811
Autor:
Ogundepo, Odunayo, Gwadabe, Tajuddeen R., Rivera, Clara E., Clark, Jonathan H., Ruder, Sebastian, Adelani, David Ifeoluwa, Ezeani, Ignatius, Chukwuneke, Chiamaka, Dossou, Bonaventure F. P., Abdou, Aziz DIOP, Sikasote, Claytone, Hacheme, Gilles, Buzaaba, Happy, Mabuya, Rooweither, Osei, Salomey, Emezue, Chris, Kahira, Albert Njoroge, Muhammad, Shamsuddeen H., Oladipo, Akintunde, Owodunni, Abraham Toluwase, Tonja, Atnafu Lambebo, Shode, Iyanuoluwa, Asai, Akari, Ajayi, Tunde Oluwaseyi, Siro, Clemencia, Arthur, Steven, Adeyemi, Mofetoluwa, Ahia, Orevaoghene, Anuoluwapo, Aremu, Awosan, Oyinkansola, Opoku, Bernard, Ayodele, Awokoya, Otiende, Verrah, Mwase, Christine, Sinkala, Boyd, Rubungo, Andre Niyongabo, Ajisafe, Daniel A., Onwuegbuzia, Emeka Felix, Mbow, Habib, Niyomutabazi, Emile, Mukonde, Eunice, Lawan, Falalu Ibrahim, Ahmad, Ibrahim Said, Alabi, Jesujoba O., Namukombo, Martin, Chinedu, Mbonu, Phiri, Mofya, Putini, Neo, Mngoma, Ndumiso, Amuok, Priscilla A., Iro, Ruqayya Nasir, Adhiambo, Sonia
African languages have far less in-language content available digitally, making it challenging for question answering systems to satisfy the information needs of users. Cross-lingual open-retrieval question answering (XOR QA) systems -- those that re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______201::980dadc04ca67e55b3ee07f7c9c85126
https://eprints.lancs.ac.uk/id/eprint/194286/
https://eprints.lancs.ac.uk/id/eprint/194286/