Team Enigma at ArgMining-EMNLP 2021: Leveraging Pre-trained Language
Models for Key Point Matching

Team Enigma at ArgMining-EMNLP 2021: Leveraging Pre-trained Language Models for Key Point Matching

24 October 2021

Siba Smarak Panigrahi

Abhilash Nandy

Papers citing "Team Enigma at ArgMining-EMNLP 2021: Leveraging Pre-trained Language Models for Key Point Matching"

6 / 6 papers shown

Title
Exploring Key Point Analysis with Pairwise Generation and Graph Partitioning Xiao Li Yong-jia Jiang Shen Huang Pengjun Xie Gong Cheng Fei Huang 51 1 0 17 Apr 2024
Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretraining Jingcong Liang Rong Ye Meng Han Qi Zhang Ruofei Lai Xinyu Zhang Zhao Cao Xuanjing Huang Zhongyu Wei 30 2 0 01 Dec 2023
Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation Hao Li Viktor Schlegel R. Batista-Navarro Goran Nenadic 21 6 0 25 May 2023
From Judgement's Premises Towards Key Points Oren Sultan Rayen Dhahri Yauheni Mardan Tobias Eder Georg Groh 11 0 0 23 Dec 2022
Arguments to Key Points Mapping with Prompt-based Learning Ahnaf Mozib Samin Behrooz Nikandish Jingyan Chen AAML 14 2 0 28 Nov 2022
Overview of the 2021 Key Point Analysis Shared Task Roni Friedman Lena Dankin Yufang Hou R. Aharonov Yoav Katz Noam Slonim 16 22 0 20 Oct 2021