COMET: Commonsense Transformers for Knowledge Graph Construction
By Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, Yejin Choi. 2019
27 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Andrea Madotto
- Genta Indra Winata
- Zhaojiang Lin
- Pascale Fung
- Ninareh Mehrabi
- Pei Zhou
- Zihan Liu
- Yan Xu
Citations in the corpus
- Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources (2021, methodology): “We use the same mapping as that used in COMeT (Bosselut et al., 2019), covering all standard 34 types of relations in ConceptNet plus the “InstanceOf ” relation.”
- Learning Knowledge Bases with Parameters for Task-Oriented Dialogue Systems (2020, methodology): “Language Models as Knowledge Bases has been used for encoding common sense knowledge into transformers (Bosselut et al., 2019; Liu et al., 2019a; Xiong et al., 2019; Wang et al., 2020, 2019).”
- Unifying Large Language Models and Knowledge Graphs: A Roadmap (2023, background): “[162] 2021 E End-to-EndConstruction Grapher[41] 2021 ED End-to-EndConstruction PiVE[163] 2023 D + ED End-to-EndConstruction COMET[164] 2019 D DistillingKGsfromLLMs BertNet[165] 2022 E DistillingKGsfromLLMs Westetal.”