@inproceedings{li-etal-2017-context,
    title = "Context-Aware Graph Segmentation for Graph-Based Translation",
    author = "Li, Liangyou  and
      Way, Andy  and
      Liu, Qun",
    editor = "Lapata, Mirella  and
      Blunsom, Phil  and
      Koller, Alexander",
    booktitle = "Proceedings of the 15th Conference of the {E}uropean Chapter of the Association for Computational Linguistics: Volume 2, Short Papers",
    month = apr,
    year = "2017",
    address = "Valencia, Spain",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/E17-2095/",
    pages = "599--604",
    abstract = "In this paper, we present an improved graph-based translation model which segments an input graph into node-induced subgraphs by taking source context into consideration. Translations are generated by combining subgraph translations left-to-right using beam search. Experiments on Chinese{--}English and German{--}English demonstrate that the context-aware segmentation significantly improves the baseline graph-based model."
}