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    <titleInfo>
        <title>Speed Reading: Learning to Read ForBackward via Shuttle</title>
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        <namePart type="given">Tsu-Jui</namePart>
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    <abstract>We present LSTM-Shuttle, which applies human speed reading techniques to natural language processing tasks for accurate and efficient comprehension. In contrast to previous work, LSTM-Shuttle not only reads shuttling forward but also goes back. Shuttling forward enables high efficiency, and going backward gives the model a chance to recover lost information, ensuring better prediction. We evaluate LSTM-Shuttle on sentiment analysis, news classification, and cloze on IMDB, Rotten Tomatoes, AG, and Children’s Book Test datasets. We show that LSTM-Shuttle predicts both better and more quickly. To demonstrate how LSTM-Shuttle actually behaves, we also analyze the shuttling operation and present a case study.</abstract>
    <identifier type="citekey">fu-ma-2018-speed</identifier>
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%0 Conference Proceedings
%T Speed Reading: Learning to Read ForBackward via Shuttle
%A Fu, Tsu-Jui
%A Ma, Wei-Yun
%Y Riloff, Ellen
%Y Chiang, David
%Y Hockenmaier, Julia
%Y Tsujii, Jun’ichi
%S Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
%D 2018
%8 oct nov
%I Association for Computational Linguistics
%C Brussels, Belgium
%F fu-ma-2018-speed
%X We present LSTM-Shuttle, which applies human speed reading techniques to natural language processing tasks for accurate and efficient comprehension. In contrast to previous work, LSTM-Shuttle not only reads shuttling forward but also goes back. Shuttling forward enables high efficiency, and going backward gives the model a chance to recover lost information, ensuring better prediction. We evaluate LSTM-Shuttle on sentiment analysis, news classification, and cloze on IMDB, Rotten Tomatoes, AG, and Children’s Book Test datasets. We show that LSTM-Shuttle predicts both better and more quickly. To demonstrate how LSTM-Shuttle actually behaves, we also analyze the shuttling operation and present a case study.
%R 10.18653/v1/D18-1474
%U https://aclanthology.org/D18-1474
%U https://doi.org/10.18653/v1/D18-1474
%P 4439-4448

Markdown (Informal)

[Speed Reading: Learning to Read ForBackward via Shuttle](https://aclanthology.org/D18-1474) (Fu & Ma, EMNLP 2018)

• Speed Reading: Learning to Read ForBackward via Shuttle (Fu & Ma, EMNLP 2018)

ACL

• Tsu-Jui Fu and Wei-Yun Ma. 2018. Speed Reading: Learning to Read ForBackward via Shuttle. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 4439–4448, Brussels, Belgium. Association for Computational Linguistics.