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This repository contains our path generation framework Co-NNECT, in which we combine two models for establishing knowledge relations and paths between concepts from sentences, as a form of explicitation of implicit knowledge: COREC-LM (COmmonsense knowledge RElation Classification using Language Models), a relation classification system that we …

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CO-NNECT

This repository contains our path generation framework Co-NNECT, in which we combine two models for establishing knowledge relations and paths between concepts from sentences, as a form of explicitation of implicit knowledge: COREC-LM (COmmonsense knowledge RElation Classification using Language Models), a relation classification system that we developed for classifying commonsense knowledge relations (CO-NNECT/COREC-LM); and COMET, a target prediction system developed by Bosselut et al., 2019, which we adapt for Forwardchaining (CO-NNECT/Forwardchaining).

If you use our framework, please cite: Becker, M., Korfhage, K., Paul, D., and Frank, A. (2021). CO-NNECT: A Framework for Revealing Commonsense Knowledge Paths as Explicitations of Implicit Knowledge in Texts. IWCS – International Conference on Computational Semantics.

If you have any questions, write us: mbecker@cl.uni-heidelberg.de

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This repository contains our path generation framework Co-NNECT, in which we combine two models for establishing knowledge relations and paths between concepts from sentences, as a form of explicitation of implicit knowledge: COREC-LM (COmmonsense knowledge RElation Classification using Language Models), a relation classification system that we …

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