Search Results for author: Gilles Hacheme

Found 5 papers, 4 papers with code

FonMTL: Towards Multitask Learning for the Fon Language

1 code implementation • 28 Aug 2023 • Bonaventure F. P. Dossou, Iffanice Houndayi, Pamely Zantou, Gilles Hacheme

Multitask learning is a learning paradigm that aims to improve the generalization capacity of a model by sharing knowledge across different but related tasks: this could be prevalent in very data-scarce scenarios.

Language Modelling named-entity-recognition +4

Paper
Code

AfriQA: Cross-lingual Open-Retrieval Question Answering for African Languages

1 code implementation • 11 May 2023 • Odunayo Ogundepo, Tajuddeen R. Gwadabe, Clara E. Rivera, Jonathan H. Clark, Sebastian Ruder, David Ifeoluwa Adelani, Bonaventure F. P. Dossou, Abdou Aziz DIOP, Claytone Sikasote, Gilles Hacheme, Happy Buzaaba, Ignatius Ezeani, Rooweither Mabuya, Salomey Osei, Chris Emezue, Albert Njoroge Kahira, Shamsuddeen H. Muhammad, Akintunde Oladipo, Abraham Toluwase Owodunni, Atnafu Lambebo Tonja, Iyanuoluwa Shode, Akari Asai, Tunde Oluwaseyi Ajayi, Clemencia Siro, Steven Arthur, Mofetoluwa Adeyemi, Orevaoghene Ahia, Aremu Anuoluwapo, Oyinkansola Awosan, Chiamaka Chukwuneke, Bernard Opoku, Awokoya Ayodele, Verrah Otiende, Christine Mwase, Boyd Sinkala, Andre Niyongabo Rubungo, Daniel A. Ajisafe, Emeka Felix Onwuegbuzia, Habib Mbow, Emile Niyomutabazi, Eunice Mukonde, Falalu Ibrahim Lawan, Ibrahim Said Ahmad, Jesujoba O. Alabi, Martin Namukombo, Mbonu Chinedu, Mofya Phiri, Neo Putini, Ndumiso Mngoma, Priscilla A. Amuok, Ruqayya Nasir Iro, Sonia Adhiambo34

African languages have far less in-language content available digitally, making it challenging for question answering systems to satisfy the information needs of users.

Question Answering Retrieval

Paper
Code

A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation

1 code implementation • NAACL 2022 • David Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan, Julia Kreutzer, Xiaoyu Shen, Machel Reid, Dana Ruiter, Dietrich Klakow, Peter Nabende, Ernie Chang, Tajuddeen Gwadabe, Freshia Sackey, Bonaventure F. P. Dossou, Chris Chinenye Emezue, Colin Leong, Michael Beukman, Shamsuddeen Hassan Muhammad, Guyo Dub Jarso, Oreen Yousuf, Andre Niyongabo Rubungo, Gilles Hacheme, Eric Peter Wairagala, Muhammad Umair Nasir, Benjamin Ayoade Ajibade, Tunde Oluwaseyi Ajayi, Yvonne Wambui Gitau, Jade Abbott, Mohamed Ahmed, Millicent Ochieng, Anuoluwapo Aremu, Perez Ogayo, Jonathan Mukiibi, Fatoumata Ouoba Kabore, Godson Koffi Kalipe, Derguene Mbaye, Allahsera Auguste Tapo, Victoire Memdjokam Koagne, Edwin Munkoh-Buabeng, Valencia Wagner, Idris Abdulmumin, Ayodele Awokoya, Happy Buzaaba, Blessing Sibanda, Andiswa Bukula, Sam Manthalu

We focus on two questions: 1) How can pre-trained models be used for languages not included in the initial pre-training?

Translation

Paper
Code

GAM(L)A: An econometric model for interpretable Machine Learning

no code implementations • 17 Mar 2022 • Emmanuel Flachaire, Gilles Hacheme, Sullivan Hué, Sébastien Laurent

Moreover, the results also suggest that the performance of GAM(L)A is not significantly different from that of random forest and gradient boosting.

BIG-bench Machine Learning Interpretable Machine Learning +1

Paper
Add Code

Neural Fashion Image Captioning : Accounting for Data Diversity

1 code implementation • 23 Jun 2021 • Gilles Hacheme, Noureini Sayouti

To address dataset diversity issues, we introduced the InFashAIv1 dataset containing almost 16. 000 African fashion item images with their titles, prices, and general descriptions.

Decoder Diversity +2

Paper
Code

Cannot find the paper you are looking for? You can Submit a new open access paper.