%0 Journal Article %1 liu2021modeling %A Liu, Wei %A Fu, Xiyan %A Strube, M. %D 2021 %K machine-learning deep-learning NLP related_works %T Modeling Structural Similarities between Documents for Coherence Assessment with Graph Convolutional Networks %U https://www.semanticscholar.org/paper/936cc980be6cfa13d5419ad1d21b623df7fce2f5

@article{liu2021modeling, added-at = {2023-07-03T22:39:11.000+0200}, author = {Liu, Wei and Fu, Xiyan and Strube, M.}, biburl = {https://www.bibsonomy.org/bibtex/21b16489e7357b553804fd667748d6458/tomvoelker}, description = {This paper presents a method for modeling structural similarities between documents for coherence assessment with graph convolutional networks.}, interhash = {28b8d6cbd93f1a46d40a941ade0bcd60}, intrahash = {1b16489e7357b553804fd667748d6458}, keywords = {machine-learning deep-learning NLP related_works}, timestamp = {2023-07-03T22:39:11.000+0200}, title = {Modeling Structural Similarities between Documents for Coherence Assessment with Graph Convolutional Networks}, url = {https://www.semanticscholar.org/paper/936cc980be6cfa13d5419ad1d21b623df7fce2f5}, year = 2021 }