Fetching the paper…
Reading the bibliography…
For natural language understanding tasks, either machine reading comprehension or natural language inference, both semantics-aware and inference are favorable features of the concerned modeling for better understanding performance.
ERNIE: enhanced representation through knowledge integration
Yu Sun, Shuohuan Wang, Yukun Li, Shikun Feng, Xuyi Chen, Han Zhang, Xin Tian, Danxiang Zhu, Hao Tian, and Hua Wu. 2019 · 1904
Earlier work this paper cites.
Spanbert: Improving pre-training by representing and predicting spans
Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, and Omer Levy. 2019 · 1907
Earlier work this paper cites.
The Berkeley FrameNet project
Collin F. Baker, Charles J. Fillmore, and John B. Lowe. 1998 · 1998
Earlier work this paper cites.
Question answering based on semantic structures
Srini Narayanan and Sanda Harabagiu. 2004 · 2004
Earlier work this paper cites.
The proposition bank: An annotated corpus of semantic roles
Martha Palmer, Daniel Gildea, and Paul Kingsbury. 2005 · 2005
Earlier work this paper cites.
The Fifth PASCAL Recognizing Textual Entailment Challenge
Luisa Bentivogli, Ido Dagan, Hoa Trang Dang, Danilo Giampiccolo, and Bernardo Magnini. 2009 · 2009
Earlier work this paper cites.
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2009
Earlier work this paper cites.
Using semantic roles to improve question answering
Dan Shen and Mirella Lapata. 2007 · 2009
Earlier work this paper cites.
Question Answering Using Enhanced Lexical Semantic Models
Wen-tau Yih, Ming-Wei Chang, Christopher Meek, and Andrzej Pastusiak. 2013 · 2013
Earlier work this paper cites.
Memory Networks
Jason Weston, Sumit Chopra, and Antoine Bordes. 2014 · 2014
Earlier work this paper cites.
A large annotated corpus for learning natural language inference
Samuel R. Bowman, Gabor Angeli, Christopher Potts, and Christopher D. Manning. 2015 · 2015
Earlier work this paper cites.
SearchQA: A new q&a dataset augmented with context from a search engine
Matthew Dunn, Levent Sagun, Mike Higgins, V. Ugur Güney, Volkan Cirik, and Kyunghyun Cho. 2017 · 2017
Earlier work this paper cites.
Deep semantic role labeling: What works and what’s next
Luheng He, Kenton Lee, Mike Lewis, and Luke Zettlemoyer. 2017 · 2017
Cited alongside, same era.
TriviaQA: A large scale distantly supervised challenge dataset for reading comprehension
Mandar Joshi, Eunsol Choi, Daniel S. Weld, and Luke Zettlemoyer. 2017 · 2017
Cited alongside, same era.
Gated End-to-End Memory Networks
Fei Liu and Julien Perez. 2017 · 2017
Cited alongside, same era.
A simple neural network module for relational reasoning
Adam Santoro, David Raposo, David G Barrett, Mateusz Malinowski, Razvan Pascanu, Peter Battaglia, and Timothy Lillicrap. 2017 · 2017
Cited alongside, same era.
NewsQA: A Machine Comprehension Dataset
Adam Trischler, Tong Wang, Xingdi Yuan, Justin Harris, Alessandro Sordoni, Philip Bachman, and Kaheer Suleman. 2017 · 2017
Cited alongside, same era.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
A broad-coverage challenge corpus for sentence understanding through inference
Adina Williams, Nikita Nangia, and Samuel Bowman. 2018 · 2018
Later among the works it cites.
Explicit Contextual Semantics for Text Comprehension
Zhuosheng Zhang, Yuwei Wu, Zuchao Li, and Hai Zhao. 2018 · 2018
Later among the works it cites.
MRQA 2019 shared task: Evaluating generalization in reading comprehension
Adam Fisch, Alon Talmor, Robin Jia, Minjoon Seo, Eunsol Choi, and Danqi Chen. 2019 · 2019
Later among the works it cites.
Natural questions: a benchmark for question answering research
Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Matthew Kelcey, Jacob Devlin, Kenton Lee, Kristina N. Toutanova, Llion Jones, Ming-Wei Chang, Andrew Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov. 2019 · 2019
Later among the works it cites.
Discourse-aware semantic self-attention for narrative reading comprehension
Todor Mihaylov and Anette Frank. 2019 · 2019
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2018
Cited alongside, same era.
AllenNLP: A deep semantic natural language processing platform
Matt Gardner, Joel Grus, Mark Neumann, Oyvind Tafjord, Pradeep Dasigi, Nelson F. Liu, Matthew Peters, Michael Schmitz, and Luke Zettlemoyer. 2018 · 2018
Cited alongside, same era.
Compositional attention networks for machine reasoning
Drew A. Hudson and Christopher D. Manning. 2018 · 2018
Cited alongside, same era.
Question Answering as Global Reasoning over Semantic Abstractions
Daniel Khashabi, Tushar Khot, Ashish Sabharwal, and Dan Roth. 2018 · 2018
Cited alongside, same era.
The NarrativeQA Reading Comprehension Challenge
Tomáš Kočiský, Jonathan Schwarz, Phil Blunsom, Chris Dyer, Karl Moritz Hermann, Gábor Melis, and Edward Grefenstette. 2018 · 2018
Cited alongside, same era.
Know what you don’t know: Unanswerable questions for SQuAD
Pranav Rajpurkar, Robin Jia, and Percy Liang. 2018 · 2018
Cited alongside, same era.
Reading Comprehension with Graph-based Temporal-Casual Reasoning
Yawei Sun, Gong Cheng, and Yuzhong Qu. 2018 · 2018
Cited alongside, same era.
Later among the works it cites.
Generalizing question answering system with pre-trained language model fine-tuning
Dan Su, Yan Xu, Genta Indra Winata, Peng Xu, Hyeondey Kim, Zihan Liu, and Pascale Fung. 2019 · 2019
Later among the works it cites.
CLER: Cross-task learning with expert representation to generalize reading and understanding
Takumi Takahashi, Motoki Taniguchi, Tomoki Taniguchi, and Tomoko Ohkuma. 2019 · 2019
Later among the works it cites.
GLUE: A multi-task benchmark and analysis platform for natural language understanding
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel R. Bowman. 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.
ERNIE: Enhanced language representation with informative entities
Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun, and Qun Liu. 2019 · 2019
Later among the works it cites.
Semantics-aware BERT for Language Understanding
Zhuosheng Zhang, Yuwei Wu, Hai Zhao, Zuchao Li, Shuailiang Zhang, Xi Zhou, and Xiang Zhou. 2020 · 2020
Closest in time.