Sentence Summarization Task

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

• Context:
  • It can be solved by an Sentence Summarization System (that implements a sentence summarization algorithm).
  • It can range from (typically) being an Abstractive Sentence Summarization Task to being an Extractive Sentence Summarization Task.
  • It can support a Document Summarization Task.
• Example(s):
  • …
• See: Text Extraction, Sentence Paraphrasing.

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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]\displaystyle{ M }[/math] words [math]\displaystyle{ x_1,..., x_M }[/math] coming from a fixed vocabulary [math]\displaystyle{ V }[/math] of size [math]\displaystyle{ |V|= V }[/math]. We will represent each word as an indicator vector [math]\displaystyle{ x_i \in {0,1}^V }[/math] for [math]\displaystyle{ i \in {1,..., M} }[/math], sentences as a sequence of indicators, and [math]\displaystyle{ X }[/math] as the set of possible inputs. Furthermore define the notation [math]\displaystyle{ x_{[i,j,k]} }[/math] to indicate]] the sub-sequence of elements [math]\displaystyle{ i, j, k }[/math]. ...

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