@inproceedings{nguyen-etal-2017-sequence,
    title = "Sequence to Sequence Learning for Event Prediction",
    author = "Nguyen, Dai Quoc  and
      Nguyen, Dat Quoc  and
      Chu, Cuong Xuan  and
      Thater, Stefan  and
      Pinkal, Manfred",
    editor = "Kondrak, Greg  and
      Watanabe, Taro",
    booktitle = "Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)",
    month = nov,
    year = "2017",
    address = "Taipei, Taiwan",
    publisher = "Asian Federation of Natural Language Processing",
    url = "https://preview.aclanthology.org/Author-page-Marten-During-lu/I17-2007/",
    pages = "37--42",
    abstract = "This paper presents an approach to the task of predicting an event description from a preceding sentence in a text. Our approach explores sequence-to-sequence learning using a bidirectional multi-layer recurrent neural network. Our approach substantially outperforms previous work in terms of the BLEU score on two datasets derived from WikiHow and DeScript respectively. Since the BLEU score is not easy to interpret as a measure of event prediction, we complement our study with a second evaluation that exploits the rich linguistic annotation of gold paraphrase sets of events."
}