Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs
in Language Pretraining

Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretraining

1 December 2023

Xuanjing Huang

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Papers citing "Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretraining"

9 / 9 papers shown

Title
The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments Milad Alshomary Roxanne El Baff Timon Ziegenbein Henning Wachsmuth 56 33 0 28 Mar 2022
Graph Pre-training for AMR Parsing and Generation Xuefeng Bai Yulong Chen Yue Zhang SSL 93 102 0 15 Mar 2022
Team Enigma at ArgMining-EMNLP 2021: Leveraging Pre-trained Language Models for Key Point Matching Chao Fan Yang Yang Siba Smarak Panigrahi Varun Madhavan Abhilash Nandy 38 10 0 24 Oct 2021
Key Point Analysis via Contrastive Learning and Extractive Argument Summarization Milad Alshomary Timon Ziegenbein S. Syed Philipp Heinisch Maximilian Spliethover Philipp Cimiano Martin Potthast Henning Wachsmuth 82 17 0 30 Sep 2021
A Generalization of Transformer Networks to Graphs Vijay Prakash Dwivedi Xavier Bresson AI4CE 109 760 0 17 Dec 2020
The workweek is the best time to start a family -- A Study of GPT-2 Based Claim Generation Shai Gretz Yonatan Bilu Edo Cohen-Karlik Noam Slonim 38 24 0 13 Oct 2020
Quantitative Argument Summarization and Beyond: Cross-Domain Key Point Analysis Roy Bar-Haim Yoav Kantor Lilach Eden Roni Friedman Dan Lahav Noam Slonim 80 47 0 11 Oct 2020
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 692 24,557 0 26 Jul 2019
Neural Network-Based Abstract Generation for Opinions and Arguments Lu Wang Wang Ling 54 143 0 09 Jun 2016