@inproceedings{shvets-etal-2018-sentence,
title = "Sentence Packaging in Text Generation from Semantic Graphs as a Community Detection Problem",
author = "Shvets, Alexander and
Mille, Simon and
Wanner, Leo",
editor = "Krahmer, Emiel and
Gatt, Albert and
Goudbeek, Martijn",
booktitle = "Proceedings of the 11th International Conference on Natural Language Generation",
month = nov,
year = "2018",
address = "Tilburg University, The Netherlands",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-6542",
doi = "10.18653/v1/W18-6542",
pages = "350--359",
abstract = "An increasing amount of research tackles the challenge of text generation from abstract ontological or semantic structures, which are in their very nature potentially large connected graphs. These graphs must be {``}packaged{''} into sentence-wise subgraphs. We interpret the problem of sentence packaging as a community detection problem with post optimization. Experiments on the texts of the VerbNet/FrameNet structure annotated-Penn Treebank, which have been converted into graphs by a coreference merge using Stanford CoreNLP, show a high F1-score of 0.738.",
}
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%0 Conference Proceedings
%T Sentence Packaging in Text Generation from Semantic Graphs as a Community Detection Problem
%A Shvets, Alexander
%A Mille, Simon
%A Wanner, Leo
%Y Krahmer, Emiel
%Y Gatt, Albert
%Y Goudbeek, Martijn
%S Proceedings of the 11th International Conference on Natural Language Generation
%D 2018
%8 November
%I Association for Computational Linguistics
%C Tilburg University, The Netherlands
%F shvets-etal-2018-sentence
%X An increasing amount of research tackles the challenge of text generation from abstract ontological or semantic structures, which are in their very nature potentially large connected graphs. These graphs must be “packaged” into sentence-wise subgraphs. We interpret the problem of sentence packaging as a community detection problem with post optimization. Experiments on the texts of the VerbNet/FrameNet structure annotated-Penn Treebank, which have been converted into graphs by a coreference merge using Stanford CoreNLP, show a high F1-score of 0.738.
%R 10.18653/v1/W18-6542
%U https://aclanthology.org/W18-6542
%U https://doi.org/10.18653/v1/W18-6542
%P 350-359
Markdown (Informal)
[Sentence Packaging in Text Generation from Semantic Graphs as a Community Detection Problem](https://aclanthology.org/W18-6542) (Shvets et al., INLG 2018)
ACL