Analyzing Multi-Task Learning for Abstractive Text Summarization

26 October 2022

Papers citing "Analyzing Multi-Task Learning for Abstractive Text Summarization"

7 / 7 papers shown

Title
Paraphrase Detection: Human vs. Machine Content Jonas Becker Jan Philip Wahle Terry Ruas Bela Gipp DeLMO 35 13 0 24 Mar 2023
Neural Media Bias Detection Using Distant Supervision With BABE -- Bias Annotations By Experts Timo Spinde Manuel Plank Jan-David Krieger Terry Ruas Bela Gipp Akiko Aizawa 27 68 0 29 Sep 2022
The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey Yi-Chong Huang Xiachong Feng Xiaocheng Feng Bing Qin HILM 136 105 0 30 Apr 2021
CTRLsum: Towards Generic Controllable Text Summarization Junxian He Wojciech Kry'sciñski Bryan McCann Nazneen Rajani Caiming Xiong 216 138 0 08 Dec 2020
ANLIzing the Adversarial Natural Language Inference Dataset Adina Williams Tristan Thrush Douwe Kiela AAML 179 46 0 24 Oct 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 299 6,984 0 20 Apr 2018
Teaching Machines to Read and Comprehend Karl Moritz Hermann Tomás Kociský Edward Grefenstette L. Espeholt W. Kay Mustafa Suleyman Phil Blunsom 196 3,513 0 10 Jun 2015