Abstractive Sentence Summarization Task

An Abstractive Sentence Summarization Task is a sentence summarization task that allows for paraphrasing.

• Context:
  • It can be solved by an Abstractive Sentence Summarization System (that implements an abstractive summarization algorithm).
• See: Extractive Sentence Summarization.

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References

2015

• (Rush et al., 2015) ⇒ Alexander M. Rush, Sumit Chopra, and Jason Weston. (2015). “A Neural Attention Model for Abstractive Sentence Summarization.” In: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP-2015).
  • QUOTE: … We begin by defining the sentence summarization task. Given an input sentence, the goal is to produce a condensed summary. Let the input consist of a sequence of [math]M[/math] words [math]x_1,..., x_M[/math] coming from a fixed vocabulary [math]V[/math] of size [math]|V|= V[/math]. We will represent each word as an indicator vector [math]x_i \in {0,1}^V[/math] for [math]i \in {1,..., M}[/math], sentences as a sequence of indicators, and [math]X[/math] as the set of possible inputs. Furthermore define the notation [math]x_{[i,j,k]}[/math] to indicate]] the sub-sequence of elements [math]i, j, k[/math]. ...

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