David Ifeoluwa Adelani

Biographie

David Adelani est professeur adjoint en science informatique et lutte contre les inégalités à l’Université McGill, et membre académique principal à Mila – Institut québécois d'intelligence artificielle. Ses recherches se concentrent sur le traitement multilingue du langage naturel, avec un accent particulier sur les langues sous-dotées en ressources.

Étudiants actuels

Senyu Li Li

Doctorat - McGill

Github

Jessica Ojo

Maîtrise recherche - McGill

Github

Fabian Schmidt

Stagiaire de recherche - McGill

Site web

Github

Peter Yu

Maîtrise recherche - McGill

Publications

Enhancing Transformer Models for Igbo Language Processing: A Critical Comparative Study

Anthony Soronnadi

Olubayo Adekanmbi

Chinazo Anebelundu

2024-03-03

ICLR.cc/2024/Workshop/AfricaNLP (publié)

NaijaRC: A Multi-choice Reading Comprehension Dataset for Nigerian Languages

Aremu Anuoluwapo

Jesujoba Oluwadara Alabi

Daud Abolade

Nkechinyere Faith Aguobi

Shamsuddeen Hassan Muhammad

In this paper, we create NaijaRC— a new multi-choice Nigerian Reading Comprehension dataset that is based on high-school RC examination fo… (voir plus)r three Nigerian national languages: Hausa (hau), Igbo (ibo), and \yoruba (yor). We provide baseline results by performing cross-lingual transfer using the Belebele training data which is majorly from RACE {RACE is based on English exams for middle and high school Chinese students, very similar to our dataset.} dataset based on several pre-trained encoder-only models. Additionally, we provide results by prompting large language models (LLMs) like GPT-4.

2024-03-03

ICLR.cc/2024/Workshop/AfricaNLP (publié)

YAD: Leveraging T5 for improved automatic diacritization of Yorùbá text

Akindele Michael Olawole

Jesujoba Oluwadara Alabi

Aderonke Busayo Sakpere

In this work we present Yorùbá automatic diacritization (YAD) benchmark dataset for evaluating Yorùbá diacritization systems. In additio… (voir plus)n, we pre-train text-to-text transformer, T5 model for Yorùbá and showed that this model outperform several multilingually trained T5 models. Lastly, we showed that more data and bigger models are better at diacritization for Yorùbá

2024-03-03

ICLR.cc/2024/Workshop/AfricaNLP (publié)

Findings of the Association for Computational Linguistics: NAACL 2024, Mexico City, Mexico, June 16-21, 2024

Mohamed Abdalla

Gavin Abercrombie

Rodrigo Agerri

Zeljko Agic

Eneko Agirre

Monica Agrawal

Wasi Uddin Ahmad

James Allan

Aijun An

Antonios Anasta-sopoulos

Mark Anderson

Jacob Andreas

Marianna Apidianaki

Alessio Palmero

Yuki Aprosio

Ehsaneddin Arase

Giuseppe Asgari

Wilker Attardi

Aziz JinYeong … (voir 480 de plus)

Timothy Bak

Mohamad Hardyman Baldwin

Pierpaolo Barawi

Ali Basile

Ja-smijn Basirat

Timo Bastings

Gábor Baumann

Eyal Bella

Farah Ben-David

Luciana Benamara

Benotti Yevgeni

Brijesh Berzak

Federico Bhatt

Chris Bianchi

Lidong Biemann

Alexandra Bing

Birch Eduardo

Gemma Blanco

Aurélien Boleda

Florian Bossard

Leonid Boudin

Ronan Boytsov

Pavel Le Bras

Chris Braslavski

Eleftheria Brew

Thomas Briakou

Emanuele Brochhagen

Wray Buglia-rello

Buntine Elena

Aoife Cabrio

Ruken Cahill

Jose Cakici

Marie Camacho-Collados

Pengfei Candito

Ziqiang Cao

Dallas Cao

Paula Card

Tommaso Carvalho

Andrew Caselli

Tanmoy Cattle

Ilias Chakrabor-ty

Angel X Chalkidis

Ching-Yun Chang

Snigdha Chang

Chen Chaturvedi

Kehai Chen

Long Chen

Lu Chen

Muhao Chen

Wei Chen

Wenhu Chen

Wenliang Chen

Xiang Chen

Yidong Chen

Yun-Nung Chen

Zhiyu Chen

Zhuang Chen

Hao Chen

Yu Cheng

Colin Cheng

Cherry Hai

Eunsol Leong Chieu

Leshem Choi

Monojit Choshen

Christos Choudhury

Yi-Ling Christodoulopou-los

Stephen Chung

Vincent Clark

Simone Claveau

John M Conia

Caio Filippo Conroy

Mathias Corro

Leyang Creutz

Aron Cui

Anna E Culotta

Amanda Cercas Currey

Curry Raj

Daniel Dabre

Cristian Dakota

Verna Danescu-Niculescu-Mizil

Budhaditya Dankers

Deb Vera

Zhenyun Demberg

Li Deng

Ruihai Dong

Antoine Dong

Eduard Doucet

Nan Dragut

Kevin Duan

Greg Duh

Ondrej Durrett

Tomasz Dusek

Dwojak Julian Martin

Asif Eisenschlos

Yanai Ekbal

Cristina Elazar

Luis España-Bonet

Espinosa-Anke Allyson

Kilian Ettinger

Evang Alexander

Agnieszka Fabbri

Meng Falenska

Marcello Fang

Hao Federico

Anna Fei

Feldman Naomi

Fuli Feldman

Xiaocheng Feng

Yansong Feng

Eric Feng

Francis Le Ferrand

Eli-sabetta Ferraro

Simone Fersini

Mark Filice

Mark Finlayson

Jennifer Fishel

Annemarie Foster

Friedrich Matthias

Zhe Gallé

Siddhant Gan

Judith Garg

Kallirroi Gaspers

Alborz Georgila

Geramifard Luke

Mor Gessler

Abbas Geva

Sahar Ghaddar

Filip Ghannay

Mario Ginter

Tejas Giulianelli

Sharon Gokhale

Rob Goldwater

Kyle van der Goot

Tanya Gorman

Jia-Chen Goyal

Qing Gu

Frank Gu

Lin Guerin

Honglei Gui

Qipeng Guo

Vivek Guo

Gupta Thanh-Le

Nizar Ha

Ivan Habash

Barry Habernal

Xianpei Haddow

Daniel Han

Peter Hardt

Di Hase

Michael He

Behnam Heck

Peter Hedayatnia

Daniel Heeman

Jack Hershcovich

Ryuichiro Hes-sel

Julia Higashinaka

Enamul Hockenmaier

Andreas Hoque

Yufang Hotho

Hou Dirk

Kristen Hovy

Di Howell

Xuming Hu

Fei Hu

Jie Huang

Lifu Huang

Peijie Huang

Shaohan Huang

Shujian Huang

Xuanjing Huang

Zhen Huang

Mika Huang

Hämäläinen Kentaro

Inui Kokil

Hyeju Jaidka

Mustafa Jang

Yangfeng Jarrar

Lifeng Ji

Mali Jin

Qin Jin

Richard Jin

David Johansson

Preethi Jurgens

Jyothi Ehsan

Diptesh Kamalloo

S. Kanojia

Sarvnaz Kar

Pei Karimi

Daniel Ke

So-pan Khashabi

Tushar Khosla

Hyounghun Khot

Jin-Dong Kim

Joo-Kyung Kim

Taeuk Kim

Kim Roman

Rebecca Klinger

Ivan Knowles

Ekaterina Kobyzev

Philipp Kochmar

Koehn Mamoru

Rik Komachi

Lingpeng Koncel-Kedziorski

Julia Kong

Amrith Kreutzer

Kal-pesh Krishna

Udo Krishna

Artur Kruschwitz

Adhiguna Kulmizev

Kuncoro Wai

Gerasimos Lam

Mirella Lampouras

Staffan Lapata

Mark Larsson

Ivano Last

Lauriola Thu

Dong-Ho Le

Hwanhee Lee

Jinhyuk Lee

Mark G Lee

SangKeun Lee

Oliver Lee

Heather Le-mon

Piyawat Lent

Gina-Anne Lertvittayakumjorn

Miryam Levow

Bing de Lhoneux

Chuyuan Li

Dongxu Li

Jing Li

Junhui Li

Juntao Li

Liang Li

Peng Li

Piji Li

Sujian Li

Li Tao

Wenjie Li

Xin Li

Yongbin Li

Yu Li

Yufei Li

Zhifei Li

Constantine Li

Chenghua Lignos

Hongyu Lin

Robert Lin

Bing Litschko

Hao Liu

Kang Liu

Ming Liu

Qianying Liu

Tin-gwen Liu

Xuebo Liu

Yang Liu

Zhiyuan Liu

Zoey Liu

Ximing Liu

Anh Tuan Lu

Luu Chenyang

Lyu Ji

Jing Ma

Ruotian Ma

Xiaojuan Ma

Aman Ma

Harish Tayyar Madaan

Andrea Madabushi

Navonil Ma-dotto

Prodromos Majumder

Shervin Malakasiotis

Yuning Malmasi

Kelly Mao

Vukosi Marchi-sio

Stella Marivate

Lara J Markantonatou

Bruno Martin

Yuval Martins

Sérgio Marton

Yuji Matos

Julian Matsumoto

Bryan McAuley

Ryan McCann

Kathleen McDonald

McKeown Mahnoosh

Yuxian Mehrabani

Samuel Meng

Timothee Mensah

Margot Mickus

Simon Mieskes

Yasuhide Mille

Makoto Miura

Daichi Miwa

David R Mochihashi

Lili Mortensen

Kha-lil Mou

Benjamin Mrini

Philippe Muller

Smaranda Muller

Rudra Muresan

Thomas Murthy

Müller Max

Müller-Eberstein Maria

Nona Nadejde

Mikio Naderi

Hideki Nakano

Linyong Nakayama

Nan

Franco Maria

Tapas Nardini

Mark-Jan Nayak

Isar Nederhof

Mariana Nejadgholi

Dat Quoc Neves

Nguyen Le-Minh

Thien Huu Nguyen

Vahid Nguyen

Partovi Nia

Jan Niehues

Qiang Ning

Maciej Ogrodniczuk

Alice Oh

Naoaki Okazaki

Manabu Okumura

Matan Orbach

Nedjma Ou-sidhoum

Vasile Pais

Nikolaos Pappas

Joonsuk Park

Yannick Parmentier

Prasannan Parthasarathi

Lucia Passaro

Ramakanth Pasunuru

Siddharth Patwardhan

Hao Peng

Lis Pereira

Laura Perez-Beltrachini

Maxime Peyrard

Jonas Pfeiffer

Bryan A. Plummer

Maja Popovic

Soujanya Poria

Daniel Preotiuc-Pietro

Emily Prud'hommeaux

Vikram Pudi

Peng Qian

Tieyun Qian

Deepak Ramachandran

Carlos Ramisch

Leonardo Ranaldi

Sudha Rao

Shauli Ravfogel

Marek Rei

Leonardo F. R. Ribeiro

Oleg Rokhlenko

Salvatore Romeo

Joseph Le Roux

Alla Rozov-skaya

Terry Ruas

Raphael Rubino

Ivan Vladimir Meza Ruiz

Maria Ryskina

Hassan Sajjad

Shubhra Kanti

Karmaker Santu

Maarten Sap

Naomi Saphra

Asad B. Sayeed

Dominik Schlechtweg

Viktor Schlegel

Natalie Schluter

Nathan Schneider

Hinrich Schuetze

H. Schwartz

Jingbo Shang

Vasu Sharma

Tianze Shi

Mohammad Shoeybi

Lei Shu

Melanie Siegel Maneesh

Kumar Singh

Pranaydeep Singh

Sunayana Sitaram

Kevin Small

Luca Soldaini

Aina Garí Soler

Wei Song

Xingyi Song

Yan Song

Jeffrey S. Sorensen

Aitor Soroa

Jacopo Staiano

Efstathios Stamatatos

Gabriel Stanovsky

Shane Steinert-Threlkeld

Jannik Strötgen

Sara Stymne

Jinsong Su

Saku Sugawara

Alessandro Suglia

Aixin Sun

Cheng-jie Sun

Kai Sun

György Szarvas

Víctor M. Sánchez-Cartagena

Gözde Gül ¸Sahin

Zeerak Talat

Chenhao Tan

Hao Tan

Tianyi Tang

Jesse Thomason

Brian Thompson

Yuanhe Tian

Zhiliang Tian

Amalia Todirascu

Sara Tonelli

Paolo Torroni

Kristina Toutanova

Amine xv Trabelsi

Trang Tran

David R. Traum

Kewei Tu

Martin Tutek

Ana Sabina Uban

Takehito Utsuro

Olga Vechtomova

Yannick Versley

Karin M. Verspoor

David Vilar

David Vilares 0001

Serena Villa-ta

Esaú Villatoro-Tello

Thuy Vu

Ivan Vuli´c

Fei Xia

Tong Xiao

Bo Xu

Huijuan Xu

Nianwen Xue

S. Yadav

Hang Yan

Rui Yan

Min Yang

Wei Yang

Yezhou Yang

Yi Yang

Zhenglu Yang

Jin-Ge Yao

Wei Ye

Yongjing Yin

Naoki Yoshinaga

Koichiro Yoshino

Jianfei Yu

Juntao Yu Mo

Yu Manzil Zaheer

Fabio Massimo Zanzotto

Weixin Zeng

Luke Zettlemoyer

Biao Zhang

Chen Zhang

Crystina Zhang

Jiajun Zhang

Jingyi Zhang

Justine Zhang

Meishan Zhang

Ningyu Zhang

Shaolei Zhang

Sheng Zhang

Shiyue Zhang

Shuai Zhang

Shuo Zhang

Wei Zhang

Yang Zhang

Zhe Zhang

Jieyu Zhao

Shiwan Zhao

Hai-Tao Zheng

Zaixiang Zheng

Jie Zhou

Yi Zhou

Xiaodan Zhu

2024-01-01

NAACL-HLT (Findings) (publié)

dblp.uni-trier.de

ÌròyìnSpeech: A multi-purpose Yorùbá Speech Corpus

Tolúlope' Ògúnremí

Kọ́lá Túbọ̀sún

Aremu Anuoluwapo

Iroro Orife

2024-01-01

LREC/COLING (publié)

Machine Translation Hallucination Detection for Low and High Resource Languages using Large Language Models

Laura Gongas

Kenza Benkirane

Shahar Pelles

Naomi Fuchs

Joshua Darmon

Pontus Stenetorp

Eduardo Sánchez

Meta

2024-01-01

EMNLP (Findings) (publié)

Mitigating Translationese in Low-resource Languages: The Storyboard Approach

Garry Kuwanto

Eno-Abasi Urua

Priscilla A. Amuok

Shamsuddeen Hassan Muhammad

Aremu Anuoluwapo

Verrah Akinyi Otiende

Loice Emma Nanyanga

T. Nyoike

A. D. Akpan

Nsima Ab Udouboh

Idongesit Udeme Archibong

Idara Effiong Moses

Ifeoluwatayo A. Ige

Benjamin A. Ajibade

Olumide Benjamin Awokoya

Idris Abdulmumin

Saminu Mohammad Aliyu

Ruqayya Nasir Iro

Ibrahim Ahmad

Deontae Smith … (voir 4 de plus)

Praise-EL Michaels

Derry Tanti Wijaya

Anietie U Andy

Low-resource languages often face challenges in acquiring high-quality language data due to the reliance on translation-based methods, which… (voir plus) can introduce the translationese effect. This phenomenon results in translated sentences that lack fluency and naturalness in the target language. In this paper, we propose a novel approach for data collection by leveraging storyboards to elicit more fluent and natural sentences. Our method involves presenting native speakers with visual stimuli in the form of storyboards and collecting their descriptions without direct exposure to the source text. We conducted a comprehensive evaluation comparing our storyboard-based approach with traditional text translation-based methods in terms of accuracy and fluency. Human annotators and quantitative metrics were used to assess translation quality. The results indicate a preference for text translation in terms of accuracy, while our method demonstrates worse accuracy but better fluency in the language focused.

2024-01-01

International Conference on Language Resources and Evaluation (publié)

SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects

Hannah Liu

Xiaoyu Shen

Nikita Vassilyev

Jesujoba Oluwadara Alabi

Yanke Mao

Haonan Gao

Annie En-Shiun Lee

2024-01-01

EACL (1) (publié)

Voices Unheard: NLP Resources and Models for Yor\`ub\'a Regional Dialects

Orevaoghene Ahia

Aremu Anuoluwapo

Diana Abagyan

Hila Gonen

Daud Abolade

Noah A. Smith

Yulia Tsvetkov

2024-01-01

EMNLP (publié)

Cross-lingual Open-Retrieval Question Answering for African Languages

Odunayo Ogundepo

Tajuddeen Gwadabe

Clara E. Rivera

Jonathan H. Clark

Sebastian Ruder

Bonaventure F. P. Dossou

Abdou Aziz DIOP

Claytone Sikasote

Gilles HACHEME

Happy Buzaaba

Ignatius Ezeani

Rooweither Mabuya

Salomey Osei

Chris Emezue

Albert Kahira

Shamsuddeen Hassan Muhammad

Akintunde Oladipo

Abraham Toluwase Owodunni

Atnafu Lambebo Tonja … (voir 32 de plus)

Iyanuoluwa Shode

Akari Asai

Tunde Oluwaseyi Ajayi

Clemencia Siro

Stephen Arthur

Mofetoluwa Adeyemi

Orevaoghene Ahia

Aremu Anuoluwapo

Oyinkansola Awosan

Chiamaka Ijeoma Chukwuneke

Bernard Opoku

Ayodele Awokoya

Verrah Akinyi Otiende

Christine Mwase

Boyd Sinkala

Andre Niyongabo Rubungo

Daniel Ajisafe

Emeka Felix Onwuegbuzia

Habib Mbow

Emile Niyomutabazi

Eunice Mukonde

Falalu Lawan

Ibrahim Ahmad

Jesujoba Oluwadara Alabi

Martin Namukombo

CHINEDU EMMANUEL MBONU

Mofya Phiri

Neo Putini

Ndumiso Mngoma

Priscilla A. Amuok

Ruqayya Nasir Iro

Sonia Adhiambo

2023-12-01

Findings of the Association for Computational Linguistics: EMNLP 2023 (publié)

Cross-lingual Open-Retrieval Question Answering for African Languages

Odunayo Ogundepo

Tajuddeen Gwadabe

Clara E. Rivera

Jonathan H. Clark

Sebastian Ruder

Bonaventure F. P. Dossou

Abdou Aziz DIOP

Claytone Sikasote

Gilles Q. Hacheme

Happy Buzaaba

Ignatius Majesty Ezeani

Rooweither Mabuya

Salomey Osei

Chris Emezue

Albert Njoroge Kahira

Shamsuddeen Hassan Muhammad

Akintunde Oladipo

Abraham Toluwase Owodunni

Atnafu Lambebo Tonja … (voir 24 de plus)

Iyanuoluwa Shode

Akari Asai

Aremu Anuoluwapo

Ayodele Awokoya

Bernard Opoku

Chiamaka Ijeoma Chukwuneke

Christine Mwase

Clemencia Siro

Stephen Arthur

Tunde Oluwaseyi Ajayi

V. Otiende

Andre Niyongabo Rubungo

B. Sinkala

Daniel A. Ajisafe

Emeka Onwuegbuzia

Falalu Lawan

Ibrahim Ahmad

Jesujoba Alabi

CHINEDU EMMANUEL MBONU

Mofetoluwa Adeyemi

Mofya Phiri

Orevaoghene Ahia

Ruqayya Nasir Iro

Sonia Adhiambo

2023-12-01

Findings of the Association for Computational Linguistics: EMNLP 2023 (publié)

XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages

Sebastian Ruder

Jonathan H. Clark

Alexander Gutkin

Mihir Kale

Min Ma

Massimo Nicosia

Shruti Rijhwani

Parker Riley

Jean Michel Amath Sarr

Xinyi Wang

John Frederick Wieting

Nitish Gupta

Anna Katanova

Christo Kirov

Dana L Dickinson

Brian Roark

Bidisha Samanta

Connie Tao

Vera Axelrod … (voir 7 de plus)

Isaac Rayburn Caswell

Colin Cherry

Dan Garrette

Reeve Ingle

Melvin Johnson

Dmitry Panteleev

Partha Talukdar

Data scarcity is a crucial issue for the development of highly multilingual NLP systems. Yet for many under-represented languages (ULs) -- l… (voir plus)anguages for which NLP re-search is particularly far behind in meeting user needs -- it is feasible to annotate small amounts of data. Motivated by this, we propose XTREME-UP, a benchmark defined by: its focus on the scarce-data scenario rather than zero-shot; its focus on user-centric tasks -- tasks with broad adoption by speakers of high-resource languages; and its focus on under-represented languages where this scarce-data scenario tends to be most realistic. XTREME-UP evaluates the capabilities of language models across 88 under-represented languages over 9 key user-centric technologies including ASR, OCR, MT, and information access tasks that are of general utility. We create new datasets for OCR, autocomplete, semantic parsing, and transliteration, and build on and refine existing datasets for other tasks. XTREME-UP provides methodology for evaluating many modeling scenarios including text-only, multi-modal (vision, audio, and text),supervised parameter tuning, and in-context learning. We evaluate commonly used models on the benchmark. We release all code and scripts to train and evaluate models

2023-12-01

Findings of the Association for Computational Linguistics: EMNLP 2023 (publié)