@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://preview.aclanthology.org/jlcl-multiple-ingestion/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 {\textquotedblleft}packaged{\textquotedblright} 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."
}