Fetching the paper…
Reading the bibliography…
Machine reading comprehension has been an interesting and challenging task in recent years, with the purpose of extracting useful information from texts.
T. T. Phan, T. C. Nguyen and T. N. Huynh, Question semantic analysis in Vietnamese QA system, Advances in Intelligent Information and Database Systems
2010
Earlier work this paper cites.
M. Richardson, C. J. Burges and E. Renshaw, MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text, in Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing
2013
Earlier work this paper cites.
G. Lai, Q. Xie, H. Liu, Y. Yang and E. Hovy, RACE: Large-scale ReAding Comprehension Dataset From Examinations, in Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
2017
Earlier work this paper cites.
M. A. Finlayson and T. Erjavec, Overview of annotation creation: Processes and tools (2017) 167–191
2017
Earlier work this paper cites.
Q. Xie, G. Lai, Z. Dai and E. Hovy, Large-scale Cloze Test Dataset Created by Teachers, in Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
2018
Earlier work this paper cites.
T. Mihaylov, P. Clark, T. Khot and A. Sabharwal, Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering, in Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
2018
Earlier work this paper cites.
2018
Earlier work this paper cites.
T. Vu, D. Q. Nguyen, D. Q. Nguyen, M. Dras and M. Johnson, VnCoreNLP: A Vietnamese Natural Language Processing Toolkit, in Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations
2018
Earlier work this paper cites.
J. Devlin, M.-W. Chang, K. Lee and K. Toutanova, BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding, in Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
2019
Earlier work this paper cites.
K. Sun, D. Yu, J. Chen, D. Yu, Y. Choi and C. Cardie, DREAM: A Challenge Data Set and Models for Dialogue-Based Reading Comprehension, Transactions of the Association for Computational Linguistics
2019
Earlier work this paper cites.
M. Hardalov, I. Koychev and P. Nakov, Beyond English-Only Reading Comprehension: Experiments in Zero-shot Multilingual Transfer for Bulgarian, in Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)
2019
Earlier work this paper cites.
V. Sanh, L. Debut, J. Chaumond and T. Wolf, DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter (2019)
2019
Earlier work this paper cites.
S. Reddy, D. Chen and C. D. Manning, CoQA: A Conversational Question Answering Challenge, Transactions of the Association for Computational Linguistics
2019
Earlier work this paper cites.
K. V. Nguyen, K. V. Tran, S. T. Luu, A. G.-T. Nguyen and N. L.-T. Nguyen, Enhancing Lexical-Based Approach With External Knowledge for Vietnamese Multiple-Choice Machine Reading Comprehension, IEEE Access
2020
Earlier work this paper cites.
D. Jin, S. Gao, J.-Y. Kao, T. Chung and D. Hakkani-tur, Mmm: Multi-stage multi-task learning for multi-choice reading comprehension, 34
2020
Earlier work this paper cites.
K. Nguyen, V. Nguyen, A. Nguyen and N. Nguyen, A Vietnamese Dataset for Evaluating Machine Reading Comprehension, in Proceedings of the 28th International Conference on Computational Linguistics
2020
Earlier work this paper cites.
P. M. Kien, H.-T. Nguyen, N. X. Bach, V. Tran, M. L. Nguyen and T. M. Phuong, Answering Legal Questions by Learning Neural Attentive Text Representation, in Proceedings of the 28th International Conference on Computational Linguistics
2020
Cited alongside, same era.
P. Lewis, B. Oguz, R. Rinott, S. Riedel and H. Schwenk, MLQA: Evaluating Cross-lingual Extractive Question Answering, in Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
2020
Cited alongside, same era.
K. Sun, D. Yu, D. Yu and C. Cardie, Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension, Transactions of the Association for Computational Linguistics
2020
Cited alongside, same era.
M. Zaib, Q. Z. Sheng and W. Emma Zhang, A Short Survey of Pre-Trained Language Models for Conversational AI-A New Age in NLP, in Proceedings of the Australasian Computer Science Week Multiconference
2020
Cited alongside, same era.
S. Sugawara, P. Stenetorp and A. Aizawa, Benchmarking Machine Reading Comprehension: A Psychological Perspective, in Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
2021
Later among the works it cites.
N. Kiet, T. Son, N. Luan, H. Tin, L. Son and N. Ngan, VLSP 2021-ViMRC Challenge: Vietnamese Machine Reading Comprehension, VNU Journal of Science: Computer Science and Communication Engineering
2022
Later among the works it cites.
N. T.-H. Nguyen, P. P.-D. Ha, L. T. Nguyen, K. Van Nguyen and N. L.-T. Nguyen, SPBERTQA: A Two-Stage Question Answering System Based on Sentence Transformers for Medical Texts, in Knowledge Science, Engineering and Management
2022
Later among the works it cites.
K. Van Nguyen, T. Van Huynh, D.-V. Nguyen, A. G.-T. Nguyen and N. L.-T. Nguyen, New Vietnamese Corpus for Machine Reading Comprehension of Health News Articles, ACM Trans. Asian Low-Resour. Lang. Inf. Process
2022
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
A. Conneau, K. Khandelwal, N. Goyal, V. Chaudhary, G. Wenzek, F. Guzmán, E. Grave, M. Ott, L. Zettlemoyer and V. Stoyanov, Unsupervised Cross-lingual Representation Learning at Scale, in Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
2020
Cited alongside, same era.
T. V. Bui, T. O. Tran and P. Le-Hong, Improving Sequence Tagging for Vietnamese Text using Transformer-based Neural Models, in Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation
2020
Cited alongside, same era.
A. Rogers, O. Kovaleva and A. Rumshisky, A Primer in BERTology: What We Know About How BERT Works, Transactions of the Association for Computational Linguistics
2020
Cited alongside, same era.
D. Dzendzik, J. Foster and C. Vogel, English Machine Reading Comprehension Datasets: A Survey, in Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
2021
Cited alongside, same era.
S. T. Luu, M. N. Bui, L. D. Nguyen, K. V. Tran, K. Van Nguyen and N. L.-T. Nguyen, Conversational Machine Reading Comprehension for Vietnamese Healthcare Texts, in Advances in Computational Collective Intelligence
2021
Cited alongside, same era.
P. N.-T. Do, N. D. Nguyen, T. Van Huynh, K. Van Nguyen, A. G.-T. Nguyen and N. L.-T. Nguyen, Sentence Extraction-Based Machine Reading Comprehension for Vietnamese, in Knowledge Science, Engineering and Management
2021
Cited alongside, same era.
D. Khashabi, A. Cohan, S. Shakeri, P. Hosseini, P. Pezeshkpour, M. Alikhani, M. Aminnaseri, M. Bitaab, F. Brahman, S. Ghazarian, M. Gheini, A. Kabiri, R. K. Mahabagdi, O. Memarrast, A. Mosallanezhad, E. Noury, S. Raji, M. S. Rasooli, S. Sadeghi, E. S. Azer, N. S. Samghabadi, M. Shafaei, S. Sheybani, A. Tazarv and Y. Yaghoobzadeh, ParsiNLU: A Suite of Language Understanding Challenges for Persian, Transactions of the Association for Computational Linguistics
2021
Cited alongside, same era.
S. T. Luu, K. Van Nguyen, A. G.-T. Nguyen and N. Luu-Thuy Nguyen, An Experimental Study of Deep Neural Network Models for Vietnamese Multiple-Choice Reading Comprehension, 2020 IEEE Eighth International Conference on Communications and Electronics (ICCE)
2021
Cited alongside, same era.
Later among the works it cites.
2022
Later among the works it cites.
K. Le, H. Nguyen, T. Le Thanh and M. Nguyen, VIMQA: A Vietnamese Dataset for Advanced Reasoning and Explainable Multi-hop Question Answering, in Proceedings of the Thirteenth Language Resources and Evaluation Conference
2022
Later among the works it cites.
E. Albilali, N. Al-Twairesh and M. Hosny, Constructing Arabic Reading Comprehension Datasets: Arabic WikiReading and KaifLematha, Language Resources and Evaluation
2022
Later among the works it cites.
L. T. Nguyen, K. Van Nguyen and N. L.-T. Nguyen, SMTCE: A Social Media Text Classification Evaluation Benchmark and BERTology Models for Vietnamese (2022)
2022
Later among the works it cites.
T. V. Huynh, K. V. Nguyen and N. L.-T. Nguyen, ViNLI: A Vietnamese Corpus for Studies on Open-Domain Natural Language Inference, in Proceedings of the 29th International Conference on Computational Linguistics
2022
Later among the works it cites.
X. Wu, L. Xiao, Y. Sun, J. Zhang, T. Ma and L. He, A survey of human-in-the-loop for machine learning, Future Generation Computer Systems
2022
Later among the works it cites.
P. Tran, D. Nguyen, H.-A. Tran, T. Nguyen and T. Tran, Building a Closed-Domain Question Answering System for a Low-Resource Language, ACM Trans. Asian Low-Resour. Lang. Inf. Process
2023
Closest in time.
N. L.-T. Nguyen, N. H. Nguyen, D. T. D. Vo, K. Q. Tran and K. V. Nguyen, VLSP 2022 - EVJVQA Challenge: Multilingual Visual Question Answering, Journal of Computer Science and Cybernetics
2023
Closest in time.
M. M. Biltawi, A. Awajan and S. Tedmori, Arabic Span Extraction-based Reading Comprehension Benchmark (ASER) and Neural Baseline Models, ACM Trans. Asian Low-Resour. Lang. Inf. Process
2023
Closest in time.
K. Darvishi, N. Shahbodaghkhan, Z. Abbasiantaeb and S. Momtazi, PQuAD: A Persian question answering dataset, Computer Speech & Language
2023
Closest in time.