Fetching the paper…
Reading the bibliography…
A fundamental ability of humans is to utilize commonsense knowledge in language understanding and question answering.
Roberta: A robustly optimized bert pretraining approach
Liu, Y.; Ott, M.; Goyal, N.; Du, J.; Joshi, M.; Chen, D.; Levy, O.; Lewis, M.; Zettlemoyer, L.; and Stoyanov, V. 2019 · 1907
Earlier work this paper cites.
Albert: A lite bert for self-supervised learning of language representations
Lan, Z.; Chen, M.; Goodman, S.; Gimpel, K.; Sharma, P.; and Soricut, R. 2019 · 1909
Earlier work this paper cites.
Some simple effective approximations to the 2-poisson model for probabilistic weighted retrieval
Robertson, S. E.; and Walker, S. 1994 · 1994
Earlier work this paper cites.
Commonsense-based interfaces
Minsky, M. 2000 · 2000
Earlier work this paper cites.
Distant supervision for relation extraction without labeled data
Mintz, M.; Bills, S.; Snow, R.; and Jurafsky, D. 2009 · 2009
Earlier work this paper cites.
Types of Common-Sense Knowledge Needed for Recognizing Textual Entailment
LoBue, P.; and Yates, A. 2011 · 2011
Earlier work this paper cites.
The winograd schema challenge
Levesque, H.; Davis, E.; and Morgenstern, L. 2012 · 2012
Earlier work this paper cites.
Resolving Complex Cases of Definite Pronouns: The Winograd Schema Challenge
Rahman, A.; and Ng, V. 2012 · 2012
Earlier work this paper cites.
Paraphrase-Driven Learning for Open Question Answering
Fader, A.; Zettlemoyer, L.; and Etzioni, O. 2013 · 2013
Earlier work this paper cites.
Establishing a Human Baseline for the Winograd Schema Challenge
Bender, D. 2015 · 2015
Earlier work this paper cites.
PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification
Pavlick, E.; Rastogi, P.; Ganitkevitch, J.; Van Durme, B.; and Callison-Burch, C. 2015 · 2015
Earlier work this paper cites.
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Rajpurkar, P.; Zhang, J.; Lopyrev, K.; and Liang, P. 2016 · 2016
Earlier work this paper cites.
Bidirectional attention flow for machine comprehension
Seo, M.; Kembhavi, A.; Farhadi, A.; and Hajishirzi, H. 2016 · 2016
Cited alongside, same era.
ConceptNet 5.5: an open multilingual graph of general knowledge
Speer, R.; Chin, J.; and Havasi, C. 2017 · 2017
Cited alongside, same era.
Dynamic integration of background knowledge in neural NLU systems
Weissenborn, D.; Kočiskỳ, T.; and Dyer, C. 2017 · 2017
Cited alongside, same era.
Leveraging Knowledge Bases in LSTMs for Improving Machine Reading
Yang, B.; and Mitchell, T. 2017 · 2017
Cited alongside, same era.
Accurate Text-Enhanced Knowledge Graph Representation Learning
An, B.; Chen, B.; Han, X.; and Sun, L. 2018 · 2018
Cited alongside, same era.
Barack’s Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling
Logan, R.; Liu, N. F.; Peters, M. E.; Gardner, M.; and Singh, S. 2019 · 2019
Later among the works it cites.
Towards Generalizable Neuro-Symbolic Systems for Commonsense Question Answering
Ma, K.; Francis, J.; Lu, Q.; Nyberg, E.; and Oltramari, A. 2019 · 2019
Later among the works it cites.
Explain Yourself! Leveraging Language Models for Commonsense Reasoning
Rajani, N. F.; McCann, B.; Xiong, C.; and Socher, R. 2019 · 2019
Later among the works it cites.
Social IQa: Commonsense Reasoning about Social Interactions
Sap, M.; Rashkin, H.; Chen, D.; Le Bras, R.; and Choi, Y. 2019b · 2019
Later among the works it cites.
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
Talmor, A.; Herzig, J.; Lourie, N.; and Berant, J. 2019 · 2019
Later among the works it cites.
Explicit Utilization of General Knowledge in Machine Reading Comprehension
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Commonsense for Generative Multi-Hop Question Answering Tasks
Bauer, L.; Wang, Y.; and Bansal, M. 2018 · 2018
Cited alongside, same era.
Sequence-to-Action: End-to-End Semantic Graph Generation for Semantic Parsing
Chen, B.; Sun, L.; and Han, X. 2018 · 2018
Cited alongside, same era.
Neural Natural Language Inference Models Enhanced with External Knowledge
Chen, Q.; Zhu, X.; Ling, Z.-H.; Inkpen, D.; and Wei, S. 2018 · 2018
Cited alongside, same era.
Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with External Commonsense Knowledge
Mihaylov, T.; and Frank, A. 2018 · 2018
Cited alongside, same era.
Commonsense Knowledge Aware Conversation Generation with Graph Attention
Zhou, H.; Young, T.; Huang, M.; Zhao, H.; Xu, J.; and Zhu, X. 2018 · 2018
Cited alongside, same era.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J.; Chang, M.-W.; Lee, K.; and Toutanova, K. 2019 · 2019
Cited alongside, same era.
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning
Lin, B. Y.; Chen, X.; Chen, J.; and Ren, X. 2019 · 2019
Cited alongside, same era.
Wang, C.; and Jiang, H. 2019 · 2019
Later among the works it cites.
HellaSwag: Can a Machine Really Finish Your Sentence?
Zellers, R.; Holtzman, A.; Bisk, Y.; Farhadi, A.; and Choi, Y. 2019 · 2019
Later among the works it cites.
K-BERT: Enabling Language Representation with Knowledge Graph
Liu, W.; Zhou, P.; Zhao, Z.; Wang, Z.; Ju, Q.; Deng, H.; and Wang, P. 2020 · 2020
Later among the works it cites.
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering
Lv, S.; Guo, D.; Xu, J.; Tang, D.; Duan, N.; Gong, M.; Shou, L.; Jiang, D.; Cao, G.; and Hu, S. 2020 · 2020
Later among the works it cites.
ASER: A large-scale eventuality knowledge graph
Zhang, H.; Liu, X.; Pan, H.; Song, Y.; and Leung, C. W.-K. 2020 · 2020
Later among the works it cites.
Evaluating Commonsense in Pre-Trained Language Models
Zhou, X.; Zhang, Y.; Cui, L.; and Huang, D. 2020 · 2020
Later among the works it cites.
Reasoning with Heterogeneous Knowledge for Commonsense Machine Comprehension
Lin, H.; Sun, L.; and Han, X. 2017 · 2043
Closest in time.