Fetching the paper…
Reading the bibliography…
Teachers and students are increasingly relying on online learning resources to supplement the ones provided in school.
“The first text retrieval conference (TREC-1)”
Donna Harman · 1993
Earlier work this paper cites.
“An overview of the Tesseract OCR engine”
Ray Smith · 2007
Earlier work this paper cites.
“The Probabilistic Relevance Framework: BM25 and Beyond”
Stephen. Robertson and Hugo Zaragoza · 2009
Earlier work this paper cites.
“Adam: A Method for Stochastic Optimization”
Diederik Kingma and Jimmy Ba · 2015
Earlier work this paper cites.
“MS MARCO: A human generated machine reading comprehension dataset”
Tri Nguyen et al · 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
Earlier work this paper cites.
“RACE: Large-scale ReAding Comprehension Dataset From Examinations”
Guokun Lai et al · 2017
Earlier work this paper cites.
“Attention is all you need”
Ashish Vaswani et al · 2017
Earlier work this paper cites.
“Know What You Don’t Know: Unanswerable Questions for SQuAD”
Pranav Rajpurkar, Robin Jia and Percy Liang · 2018
Earlier work this paper cites.
“CoQA: A Conversational Question Answering Challenge”
Siva Reddy, Danqi Chen and Christopher. Manning · 2018
Earlier work this paper cites.
“Cross-lingual language model pretraining”
Alexis Conneau and Guillaume Lample · 2019
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
Cited alongside, same era.
“Multi-Stage Document Ranking with BERT”
Rodrigo Nogueira, Wei Yang, Kyunghyun Cho and Jimmy. Lin · 2019
Cited alongside, same era.
“Strategy of the negative sampling for training retrieval-based dialogue systems”
Aigul Nugmanova, Andrei Smirnov, Galina Lavrentyeva and Irina Chernykh · 2019
Cited alongside, same era.
“Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks”
Nils Reimers and Iryna Gurevych · 2019
Cited alongside, same era.
“FlauBERT: Unsupervised Language Model Pre-training for French”
Hang Le et al · 2020
Later among the works it cites.
“CamemBERT: a Tasty French Language Model”
Louis Martin et al · 2020
Later among the works it cites.
“Efficiently teaching an effective dense retriever with balanced topic aware sampling”
Sebastian Hofstätter et al · 2021
Later among the works it cites.
“Overview of TREC 2021”
Ian Soboroff · 2021
Later among the works it cites.
“Neural ranking models for document retrieval”
Mohamed Trabelsi, Zhiyu Chen, Brian Davison and Jeff Heflin · 2021
Later among the works it cites.
“FQuAD2.0: French Question Answering and Learning When You Don’t Know”
Quentin Heinrich, Gautier Viaud and Wacim Belblidia · 2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
“Text-based question answering from information retrieval and deep neural network perspectives: A survey”
Zahra Abbasiyantaeb and Saeedeh Momtazi · 2020
Cited alongside, same era.
“FQuAD: French Question Answering Dataset”
Martin d’Hoffschmidt et al · 2020
Cited alongside, same era.
“A deep look into neural ranking models for information retrieval”
Jiafeng Guo et al · 2020
Cited alongside, same era.
“Project PIAF: Building a Native French Question-Answering Dataset”
Rachel Keraron et al · 2020
Cited alongside, same era.
“FrBMedQA: the first French biomedical question answering dataset”
Zakaria Kaddari and Toumi Bouchentouf · 2022
Later among the works it cites.
“A Statutory Article Retrieval Dataset in French”
Antoine Louis and Gerasimos Spanakis · 2022
Later among the works it cites.
“Making a MIRACL: Multilingual Information Retrieval Across a Continuum of Languages”
Xinyu Zhang et al · 2022
Later among the works it cites.