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LenAtten: An Effective Length Controlling Unit For Text Summarization (2106.00316v1)

Published 1 Jun 2021 in cs.CL

Abstract: Fixed length summarization aims at generating summaries with a preset number of words or characters. Most recent researches incorporate length information with word embeddings as the input to the recurrent decoding unit, causing a compromise between length controllability and summary quality. In this work, we present an effective length controlling unit Length Attention (LenAtten) to break this trade-off. Experimental results show that LenAtten not only brings improvements in length controllability and ROGUE scores but also has great generalization ability. In the task of generating a summary with the target length, our model is 732 times better than the best-performing length controllable summarizer in length controllability on the CNN/Daily Mail dataset.

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Authors (6)
  1. Zhongyi Yu (4 papers)
  2. Zhenghao Wu (8 papers)
  3. Hao Zheng (200 papers)
  4. Jefferson Fong (1 paper)
  5. Weifeng Su (12 papers)
  6. Zhe Xuanyuan (3 papers)
Citations (14)