@inproceedings{ding-zhou-2018-ynu,
    title = "{YNU}{\_}{D}eep at {S}em{E}val-2018 Task 11: An Ensemble of Attention-based {B}i{LSTM} Models for Machine Comprehension",
    author = "Ding, Peng  and
      Zhou, Xiaobing",
    editor = "Apidianaki, Marianna  and
      Mohammad, Saif M.  and
      May, Jonathan  and
      Shutova, Ekaterina  and
      Bethard, Steven  and
      Carpuat, Marine",
    booktitle = "Proceedings of the 12th International Workshop on Semantic Evaluation",
    month = jun,
    year = "2018",
    address = "New Orleans, Louisiana",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/S18-1174/",
    doi = "10.18653/v1/S18-1174",
    pages = "1043--1047",
    abstract = "We firstly use GloVe to learn the distributed representations automatically from the instance, question and answer triples. Then an attentionbased Bidirectional LSTM (BiLSTM) model is used to encode the triples. We also perform a simple ensemble method to improve the effectiveness of our model. The system we developed obtains an encouraging result on this task. It achieves the accuracy 0.7472 on the test set. We rank 5th according to the official ranking."
}