Alain Vaucher, Philippe Schwaller, et al.
AMLD EPFL 2022
In recent years, a number of keyphrase generation (KPG) approaches were proposed consisting of complex model architectures, dedicated training paradigms and decoding strategies. In this work, we opt for simplicity and show how a commonly used seq2seq language model, BART, can be easily adapted to generate keyphrases from the text in a single batch computation using a simple training procedure. Empirical results on five benchmarks show that our approach is as good as the existing state-of-the-art KPG systems, but using a much simpler and easy to deploy framework.
Alain Vaucher, Philippe Schwaller, et al.
AMLD EPFL 2022
Bo Zhao, Iordan Ganev, et al.
ICLR 2023
Michael Glass, Nandana Mihindukulasooriya, et al.
ISWC 2017
Guy Barash, Onn Shehory, et al.
AAAI 2020