Do We Really Need That Many Parameters In Transformer For Extractive Summarization? Discourse Can Help !

3 December 2020

Papers citing "Do We Really Need That Many Parameters In Transformer For Extractive Summarization? Discourse Can Help !"

7 / 7 papers shown

Title
Incorporating Distributions of Discourse Structure for Long Document Abstractive Summarization Dongqi Pu Yifa Wang Vera Demberg 29 21 0 26 May 2023
Towards Domain-Independent Supervised Discourse Parsing Through Gradient Boosting Patrick Huber Giuseppe Carenini 21 0 0 18 Oct 2022
W-RST: Towards a Weighted RST-style Discourse Framework Patrick Huber Wen Xiao Giuseppe Carenini 24 3 0 04 Jun 2021
Predicting Discourse Trees from Transformer-based Neural Summarizers Wen Xiao Patrick Huber Giuseppe Carenini 21 14 0 14 Apr 2021
Unsupervised Learning of Discourse Structures using a Tree Autoencoder Patrick Huber Giuseppe Carenini 26 4 0 17 Dec 2020
Text Summarization with Pretrained Encoders Yang Liu Mirella Lapata MILM 256 1,431 0 22 Aug 2019
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,923 0 17 Aug 2015