總結：《TOPIC SEGMENTATION IN ASR TRANSCRIPTS USING BIDIRECTIONAL RNNS FORCHANGE DETECTION》
最近在考慮把大段的無結構文本通過機器學習或深度學習的方法進行分割自然段或子話題段的事情。這是自然語言處理的一個分支，該分支有很大的工業意義。主要應用有語音轉錄文本分自然段、輔助文本摘要、閱讀理解等。 先看今天這個論文。該論文還是在計算上下文相似度的基礎上進行文本分段落。直接從論文的第二部分開始，介紹了論文中用到的模型結構。輸入是以英文單詞爲一個token的句子，Fig1中的就是一
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相關文章
- 1. [句邊界檢測/標點符號預測]A Bidirectional LSTM Approach with Word Embeddings for Sentence Boundary Detection
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