Fetching the paper…
Reading the bibliography…
Knowledge retrieval and reasoning are two key stages in multi-hop question answering (QA) at web scale.
UNIFIEDQA: Crossing format boundaries with a single QA system
Daniel Khashabi, Sewon Min, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Clark, and Hannaneh Hajishirzi. 2020 · 1907
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.
Albert: A lite bert for self-supervised learning of language representations
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. 2019 · 1909
Earlier work this paper cites.
Knowledge fusion and semantic knowledge ranking for open domain question answering
Pratyay Banerjee and Chitta Baral. 2020 · 2004
Earlier work this paper cites.
Question answering over knowledge bases by leveraging semantic parsing and neuro-symbolic reasoning
Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander Gray, Ramon Astudillo, Maria Chang, Cristina Cornelio, Saswati Dana, Achille Fokoue, et al. 2020 · 2012
Earlier work this paper cites.
Fusing context into knowledge graph for commonsense reasoning
Yichong Xu, Chenguang Zhu, Ruochen Xu, Yang Liu, Michael Zeng, and Xuedong Huang. 2020 · 2012
Earlier work this paper cites.
Abstract Meaning Representation for sembanking
Laura Banarescu, Claire Bonial, Shu Cai, Madalina Georgescu, Kira Griffitt, Ulf Hermjakob, Kevin Knight, Philipp Koehn, Martha Palmer, and Nathan Schneider. 2013 · 2013
Earlier work this paper cites.
Elasticsearch: the definitive guide: a distributed real-time search and analytics engine
Clinton Gormley and Zachary Tong. 2015 · 2015
Earlier work this paper cites.
Improving event detection with Abstract Meaning Representation
Xiang Li, Thien Huu Nguyen, Kai Cao, and Ralph Grishman. 2015 · 2015
Earlier work this paper cites.
Toward abstractive summarization using semantic representations
Fei Liu, Jeffrey Flanigan, Sam Thomson, Norman Sadeh, and Noah A. Smith. 2015 · 2015
Earlier work this paper cites.
Addressing a question answering challenge by combining statistical methods with inductive rule learning and reasoning
Arindam Mitra and Chitta Baral. 2016 · 2016
Earlier work this paper cites.
Neural headline generation on Abstract Meaning Representation
Sho Takase, Jun Suzuki, Naoaki Okazaki, Tsutomu Hirao, and Masaaki Nagata. 2016 · 2016
Earlier work this paper cites.
Text summarization using abstract meaning representation
Shibhansh Dohare, Harish Karnick, and Vivek Gupta. 2017 · 2017
Earlier work this paper cites.
Semi-Supervised Classification with Graph Convolutional Networks
Thomas N. Kipf and Max Welling. 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.
Conceptnet 5.5: An open multilingual graph of general knowledge
Robyn Speer, Joshua Chin, and Catherine Havasi. 2017 · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Earlier work this paper cites.
Leveraging knowledge bases in LSTMs for improving machine reading
Bishan Yang and Tom Mitchell. 2017 · 2017
Earlier work this paper cites.
Think you have solved question answering? try arc, the ai2 reasoning challenge
Peter Clark, Isaac Cowhey, Oren Etzioni, Tushar Khot, Ashish Sabharwal, Carissa Schoenick, and Oyvind Tafjord. 2018 · 2018
Earlier work this paper cites.
Transforming question answering datasets into natural language inference datasets
Dorottya Demszky, Kelvin Guu, and Percy Liang. 2018 · 2018
Cited alongside, same era.
Guided neural language generation for abstractive summarization using Abstract Meaning Representation
Hardy Hardy and Andreas Vlachos. 2018 · 2018
Cited alongside, same era.
Linguistic properties matter for implicit discourse relation recognition: Combining semantic interaction, topic continuity and attribution
Wenqiang Lei, Yuanxin Xiang, Yuwei Wang, Qian Zhong, Meichun Liu, and Min-Yen Kan. 2018 · 2018
Cited alongside, same era.
Abstract Meaning Representation for multi-document summarization
Kexin Liao, Logan Lebanoff, and Fei Liu. 2018 · 2018
Cited alongside, same era.
Can a suit of armor conduct electricity? a new dataset for open book question answering
Todor Mihaylov, Peter Clark, Tushar Khot, and Ashish Sabharwal. 2018 · 2018
Cited alongside, same era.
Semantic neural machine translation using AMR
Linfeng Song, Daniel Gildea, Yue Zhang, Zhiguo Wang, and Jinsong Su. 2019 · 2019
Later among the works it cites.
Improving natural language inference using external knowledge in the science questions domain
Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, et al. 2019 · 2019
Later among the works it cites.
Quick and (not so) dirty: Unsupervised selection of justification sentences for multi-hop question answering
Vikas Yadav, Steven Bethard, and Mihai Surdeanu. 2019 · 2019
Later among the works it cites.
Learning to retrieve reasoning paths over wikipedia graph for question answering
Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, Richard Socher, and Caiming Xiong. 2020 · 2020
Later among the works it cites.
AMR parsing via graph-sequence iterative inference
Deng Cai and Wai Lam. 2020 · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
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.
Open information extraction from conjunctive sentences
Swarnadeep Saha and Mausam. 2018 · 2018
Cited alongside, same era.
HotpotQA: A dataset for diverse, explainable multi-hop question answering
Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William Cohen, Ruslan Salakhutdinov, and Christopher D. Manning. 2018 · 2018
Cited alongside, same era.
Aristorobertav7
AllenAI. 2019 · 2019
Cited alongside, same era.
Careful selection of knowledge to solve open book question answering
Pratyay Banerjee, Kuntal Kumar Pal, Arindam Mitra, and Chitta Baral. 2019 · 2019
Cited alongside, same era.
COMET: Commonsense transformers for automatic knowledge graph construction
Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, and Yejin Choi. 2019 · 2019
Cited alongside, same era.
Multi-hop inference for question-driven summarization
Yang Deng, Wenxuan Zhang, and Wai Lam. 2020 · 2020
Later among the works it cites.
Scalable multi-hop relational reasoning for knowledge-aware question answering
Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, Peifeng Wang, Jun Yan, and Xiang Ren. 2020 · 2020
Later among the works it cites.
Qasc: A dataset for question answering via sentence composition
Tushar Khot, Peter Clark, Michal Guerquin, Peter Jansen, and Ashish Sabharwal. 2020 · 2020
Later among the works it cites.
Interactive path reasoning on graph for conversational recommendation
Wenqiang Lei, Gangyi Zhang, Xiangnan He, Yisong Miao, Xiang Wang, Liang Chen, and Tat-Seng Chua. 2020 · 2020
Later among the works it cites.
Rikinet: Reading wikipedia pages for natural question answering
Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, and Nan Duan. 2020 · 2020
Later among the works it cites.
Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu. 2020 · 2020
Later among the works it cites.
Improving multi-hop question answering over knowledge graphs using knowledge base embeddings
Apoorv Saxena, Aditay Tripathi, and Partha Talukdar. 2020 · 2020
Later among the works it cites.
Select, answer and explain: Interpretable multi-hop reading comprehension over multiple documents
Ming Tu, Kevin Huang, Guangtao Wang, Jing Huang, Xiaodong He, and Bowen Zhou. 2020 · 2020
Later among the works it cites.
Connecting the dots: A knowledgeable path generator for commonsense question answering
Peifeng Wang, Nanyun Peng, Filip Ilievski, Pedro Szekely, and Xiang Ren. 2020 · 2020
Later among the works it cites.
Unsupervised alignment-based iterative evidence retrieval for multi-hop question answering
Vikas Yadav, Steven Bethard, and Mihai Surdeanu. 2020 · 2020
Later among the works it cites.
Answer ranking for product-related questions via multiple semantic relations modeling
Wenxuan Zhang, Yang Deng, and Wai Lam. 2020a · 2020
Later among the works it cites.
Complex factoid question answering with a free-text knowledge graph
Chen Zhao, Chenyan Xiong, Xin Qian, and Jordan Boyd-Graber. 2020 · 2020
Later among the works it cites.
Reasoning over semantic-level graph for fact checking
Wanjun Zhong, Jingjing Xu, Duyu Tang, Zenan Xu, Nan Duan, Ming Zhou, Jiahai Wang, and Jian Yin. 2020 · 2020
Later among the works it cites.
Freelb: Enhanced adversarial training for natural language understanding
Chen Zhu, Yu Cheng, Zhe Gan, Siqi Sun, Tom Goldstein, and Jingjing Liu. 2020 · 2020
Later among the works it cites.