CO-NNECT

DOI

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).

Source Code also available at GitHub: https://github.com/Heidelberg-NLP/CO-NNECT. Copyright (c) 2024 Becker, Maria

Identifier
DOI https://doi.org/10.11588/DATA/SAJAD3
Metadata Access https://heidata.uni-heidelberg.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.11588/DATA/SAJAD3
Provenance
Creator Becker, Maria
Publisher heiDATA
Contributor Becker, Maria
Publication Year 2024
Funding Reference Deutsche Forschungsgemeinschaft (DFG) SPP-1999 ; Deutsche Forschungsgemeinschaft (DFG) FR1707/-4-1 ; Leibniz-Gemeinschaft SAS-2015-IDS-LWC ; Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg
Rights MIT; info:eu-repo/semantics/openAccess; https://opensource.org/licenses/MIT
OpenAccess true
Contact Becker, Maria (Heidelberg, University, Department of Computational Linguistics)
Representation
Resource Type Dataset
Format application/zip; text/x-python; application/x-sh; application/pdf; text/markdown; text/plain
Size 36808; 38999; 5967; 12091; 2225; 760; 53934; 913; 2069073; 3578; 35742; 4406; 5389; 917; 137; 155926; 142456; 952; 12450; 10452
Version 1.1
Discipline Humanities; Linguistics