Fetching the paper…
Reading the bibliography…
Neural models have achieved great success on machine reading comprehension (MRC), many of which typically consist of two components: an evidence extractor and an answer predictor.
Evidence sentence extraction for machine reading comprehension
Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu, Dan Roth, and David A. McAllester. 2019 · 1902
Earlier work this paper cites.
Roberta: A robustly optimized BERT pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
Earlier work this paper cites.
Concept-based summarization using integer linear programming: From concept pruning to multiple optimal solutions
Florian Boudin, Hugo Mougard, and Benoît Favre. 2015 · 1918
Earlier work this paper cites.
Probability of error of some adaptive pattern-recognition machines
H. J. Scudder. 1965 · 1965
Earlier work this paper cites.
Combining labeled and unlabeled data with co-training
Avrim Blum and Tom M. Mitchell. 1998 · 1998
Earlier work this paper cites.
Separability index in supervised learning
Djamel A. Zighed, Stéphane Lallich, and Fabrice Muhlenbach. 2002 · 2002
Earlier work this paper cites.
Cotrade: Confident co-training with data editing
Min-Ling Zhang and Zhi-Hua Zhou. 2011 · 2011
Earlier work this paper cites.
The cognitive processing of candidates during reading tests: Evidence from eye-tracking
Stephen Bax. 2013 · 2013
Earlier work this paper cites.
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.
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.
Enhanced LSTM for natural language inference
Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang, and Diana Inkpen. 2017 · 2017
Earlier work this paper cites.
Coarse-to-fine question answering for long documents
Eunsol Choi, Daniel Hewlett, Jakob Uszkoreit, Illia Polosukhin, Alexandre Lacoste, and Jonathan Berant. 2017 · 2017
Earlier work this paper cites.
Race: Large-scale reading comprehension dataset from examinations
Guokun Lai, Qizhe Xie, Hanxiao Liu, Yiming Yang, and Eduard Hovy. 2017 · 2017
Earlier work this paper cites.
Self-paced co-training
Fan Ma, Deyu Meng, Qi Xie, Zina Li, and Xuanyi Dong. 2017 · 2017
Earlier work this paper cites.
Bidirectional attention flow for machine comprehension
Min Joon Seo, Aniruddha Kembhavi, Ali Farhadi, and Hannaneh Hajishirzi. 2017 · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Bilateral multi-perspective matching for natural language sentences
Zhiguo Wang, Wael Hamza, and Radu Florian. 2017 · 2017
Cited alongside, same era.
Fast abstractive summarization with reinforce-selected sentence rewriting
Yen-Chun Chen and Mohit Bansal. 2018 · 2018
Cited alongside, same era.
Ukp-athene: Multi-sentence textual entailment for claim verification
Andreas Hanselowski, Hao Zhang, Zile Li, Daniil Sorokin, Benjamin Schiller, Claudia Schulz, and Iryna Gurevych. 2018 · 2018
Cited alongside, same era.
Reinforced co-training
Jiawei Wu, Lei Li, and William Yang Wang. 2018 · 2018
Later among the works it cites.
Twowingos: A two-wing optimization strategy for evidential claim verification
Wenpeng Yin and Dan Roth. 2018 · 2018
Later among the works it cites.
Sdnet: Contextualized attention-based deep network for conversational question answering
Chenguang Zhu, Michael Zeng, and Xuedong Huang. 2018 · 2018
Later among the works it cites.
Boolq: Exploring the surprising difficulty of natural yes/no questions
Christopher Clark, Kenton Lee, Ming-Wei Chang, Tom Kwiatkowski, Michael Collins, and Kristina Toutanova. 2019 · 2019
Later among the works it cites.
BERT: pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Fusionnet: Fusing via fully-aware attention with application to machine comprehension
Hsin-Yuan Huang, Chenguang Zhu, Yelong Shen, and Weizhu Chen. 2018 · 2018
Cited alongside, same era.
Looking beyond the surface: A challenge set for reading comprehension over multiple sentences
Daniel Khashabi, Snigdha Chaturvedi, Michael Roth, Shyam Upadhyay, and Dan Roth. 2018 · 2018
Cited alongside, same era.
Bilinear attention networks
Jin-Hwa Kim, Jaehyun Jun, and Byoung-Tak Zhang. 2018 · 2018
Cited alongside, same era.
A unified model for document-based question answering based on human-like reading strategy
Weikang Li, Wei Li, and Yunfang Wu. 2018 · 2018
Cited alongside, same era.
Denoising distantly supervised open-domain question answering
Yankai Lin, Haozhe Ji, Zhiyuan Liu, and Maosong Sun. 2018 · 2018
Cited alongside, same era.
Knowledgeable reader: Enhancing cloze-style reading comprehension with external commonsense knowledge
Todor Mihaylov and Anette Frank. 2018 · 2018
Cited alongside, same era.
Efficient and robust question answering from minimal context over documents
Sewon Min, Victor Zhong, Richard Socher, and Caiming Xiong. 2018 · 2018
Cited alongside, same era.
Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, and Jie Tang. 2019 · 2019
Later among the works it cites.
Flowqa: Grasping flow in history for conversational machine comprehension
Hsin-Yuan Huang, Eunsol Choi, and Wen-tau Yih. 2019 · 2019
Later among the works it cites.
Sentence-level evidence embedding for claim verification with hierarchical attention networks
Jing Ma, Wei Gao, Shafiq R. Joty, and Kam-Fai Wong. 2019 · 2019
Later among the works it cites.
Answering while summarizing: Multi-task learning for multi-hop QA with evidence extraction
Kosuke Nishida, Kyosuke Nishida, Masaaki Nagata, Atsushi Otsuka, Itsumi Saito, Hisako Asano, and Junji Tomita. 2019 · 2019
Later among the works it cites.
Coqa: A conversational question answering challenge
Siva Reddy, Danqi Chen, and Christopher D. Manning. 2019 · 2019
Later among the works it cites.
DREAM: A challenge dataset and models for dialogue-based reading comprehension
Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Yejin Choi, and Claire Cardie. 2019 · 2019
Later among the works it cites.
Inferential machine comprehension: Answering questions by recursively deducing the evidence chain from text
Jianxing Yu, Zhengjun Zha, and Jian Yin. 2019 · 2019
Later among the works it cites.
GEAR: graph-based evidence aggregating and reasoning for fact verification
Jie Zhou, Xu Han, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, and Maosong Sun. 2019 · 2019
Later among the works it cites.
Revisiting self-training for neural sequence generation
Anonymous. 2020 · 2020
Closest in time.