自動摘要

顧名思義，在儘可能保留文本核心語意的狀況下，將文本簡化到摘要的形式。

• Gong and Liu (2001) 利用分佈語意模式，從文本中找出 k 個最重要的句子。 步驟如下：

  1. Decompose the text into its sentences

  2. Construct a term-by-sentence frequency matrix

  3. Perform a SVD to obtain a singular value matrix 󿰚 and a right singular vector matrix $V^{t}$. Each column vector of $V^{t}$ then represents a sentence of the original text.

  4. Select the k'th right singular vector from this matrix.

  5. Select the sentence which has the largest index value with this k'th right singular vector, which is then included in the summary. Given the assumption that each row vector represents a topic of the text, this is exactly the sentence that scores the highest value on this topic, compared to the other sentences.

  6. Repeat until k reaches a predefined number.