2018 SpeedReadingLearningtoReadForBa

• (Fu & Ma, 2018) ⇒ 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.

Subject Headings: Skim-Reading Task; LSTM-Shuttle, LSTM-based Skim-Reading Task.

Cited By

• http://scholar.google.com/scholar?q=%222018%22+Speed+Reading%3A+Learning+to+Read+%7BF%7Dor%7BB%7Dackward+via+Shuttle

Quotes

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.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2018 SpeedReadingLearningtoReadForBa	Tsu-Jui Fu Wei-Yun Ma			Speed Reading: Learning to Read {F}or{B}ackward via Shuttle