Learning Text Segmentation Using Deep Lstm
نویسندگان
چکیده
We train an LSTM-based model to predict structure in Wikipedia articles. This results in a model that is capable of segmenting any English text, is not constrained to a limited number of topics, and has much better runtime characteristics than previous methods. Finally, we introduce a new dataset which is much more extensive than current ones, and compare our method with previous methods in terms of segmentation quality and runtime on existing datasets.
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تاریخ انتشار 2017