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Question answering (QA) in English has been widely explored, but multilingual datasets are relatively new, with several methods attempting to bridge the gap between high- and low-resourced languages using data augmentation through translation and cross-lingual transfer.
A BERT baseline for the natural questions
Chris Alberti, Kenton Lee, and Michael Collins. 2019 · 1901
Earlier work this paper cites.
mT5: A massively multilingual pre-trained text-to-text transformer
Linting Xue, Noah Constant, Adam Roberts, Mihir Kale, Rami Al-Rfou, Aditya Siddhant, Aditya Barua, and Colin Raffel. 2020 · 2010
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Glottolog/Langdoc:Increasing the visibility of grey literature for low-density languages
Sebastian Nordhoff and Harald Hammarström. 2012 · 2012
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” ethnologue” 16/17/18th editions: A comprehensive review
Harald Hammarström. 2015 · 2015
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MS MARCO: A human generated machine reading comprehension dataset
Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, and Li Deng. 2016 · 2016
Earlier work this paper cites.
A Decomposable Attention Model for Natural Language Inference
Ankur Parikh, Oscar Täckström, Dipanjan Das, and Jakob Uszkoreit. 2016 · 2016
Earlier work this paper cites.
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
Earlier work this paper cites.
QuAC: Question Answering in Context
Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, and Luke Zettlemoyer. 2018 · 2018
Earlier work this paper cites.
Simple and Effective Multi-Paragraph Reading Comprehension
Christopher Clark and Matt Gardner. 2018 · 2018
Earlier work this paper cites.
WikiQA: A Challenge Dataset for Open-Domain Question Answering
Yi Yang, Wen-tau Yih, and Christopher Meek. 2015 · 2018
Cited alongside, same era.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
Ethnologue: Languages of the world. 2019
David M Eberhard, Gary F Simons, and Charles D. (eds.) Fennig. 2019 · 2019
Cited alongside, same era.
Natural Questions: A Benchmark for Question Answering Research
Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Jacob Devlin, Kenton Lee, et al. 2019 · 2019
Cited alongside, same era.
CoQA: A Conversational Question Answering Challenge
Siva Reddy, Danqi Chen, and Christopher D Manning. 2019 · 2019
Cited alongside, same era.
On the Cross-lingual Transferability of Monolingual Representations
The State and Fate of Linguistic Diversity and Inclusion in the NLP World
Pratik Joshi, Sebastin Santy, Amar Budhiraja, Kalika Bali, and Monojit Choudhury. 2020 · 2020
Later among the works it cites.
MLQA: Evaluating Cross-lingual Extractive Question Answering
Patrick Lewis, Barlas Oguz, Ruty Rinott, Sebastian Riedel, and Holger Schwenk. 2020 · 2020
Later among the works it cites.
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
Edoardo Maria Ponti, Goran Glavaš, Olga Majewska, Qianchu Liu, Ivan Vulić, and Anna Korhonen. 2020 · 2020
Later among the works it cites.
On negative interference in multilingual models: Findings and a meta-learning treatment
Zirui Wang, Zachary C. Lipton, and Yulia Tsvetkov. 2020 · 2020
Later among the works it cites.
Transformers: State-of-the-Art Natural Language Processing
Thomas Wolf, Julien Chaumond, Lysandre Debut, Victor Sanh, Clement Delangue, Anthony Moi, Pierric Cistac, Morgan Funtowicz, Joe Davison, Sam Shleifer, et al. 2020 · 2020
Later among the works it cites.
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Mikel Artetxe, Sebastian Ruder, and Dani Yogatama. 2020 · 2020
Cited alongside, same era.
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages
Jonathan H. Clark, Eunsol Choi, Michael Collins, Dan Garrette, Tom Kwiatkowski, Vitaly Nikolaev, and Jennimaria Palomaki. 2020 · 2020
Cited alongside, same era.
Unsupervised Cross-lingual Representation Learning at Scale
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. 2020 · 2020
Cited alongside, same era.
Hugging Face -bert-base-multilingual-cased
Hugging Face - mBERT. 2020 · 2020
Cited alongside, same era.
Predicting performance for natural language processing tasks
Mengzhou Xia, Antonios Anastasopoulos, Ruochen Xu, Yiming Yang, and Graham Neubig. 2020 · 2020
Later among the works it cites.
Inducing multilingual text analysis tools via robust projection across aligned corpora
David Yarowsky, Grace Ngai, and Richard Wicentowski. 2001 · 2020
Later among the works it cites.
SD-QA: Spoken Dialectal Question Answering for the Real World
Fahim Faisal, Sharlina Keshava, Md Mahfuz ibn Alam, and Antonios Anastasopoulos. 2021 · 2021
Closest in time.
When being unseen from mBERT is just the beginning: Handling new languages with multilingual language models
Benjamin Muller, Antonios Anastasopoulos, Benoît Sagot, and Djamé Seddah. 2021 · 2021
Closest in time.