Limited Generalizability in Argument Mining: State-Of-The-Art Models Learn Datasets, Not Arguments

28 May 2025

Papers citing "Limited Generalizability in Argument Mining: State-Of-The-Art Models Learn Datasets, Not Arguments"

10 / 10 papers shown

Title
Simplistic Collection and Labeling Practices Limit the Utility of Benchmark Datasets for Twitter Bot Detection Chris Hays Zachary Schutzman Manish Raghavan Erin Walk Philipp Zimmer 43 32 0 17 Jan 2023
Mining Legal Arguments in Court Decisions Ivan Habernal D. Faber Nicola Recchia Sebastian Bretthauer Iryna Gurevych Indra Spiecker genannt Dohmann Chr. Burchard AILaw 32 47 0 12 Aug 2022
Argument Mining Driven Analysis of Peer-Reviews Michael Fromm Evgeniy Faerman M. Berrendorf Siddharth Bhargava Ruoxia Qi Yao Zhang L. Dennert Sophia Selle Yang Mao Thomas Seidl 21 27 0 10 Dec 2020
Aspect-Based Argument Mining Dietrich Trautmann 27 18 0 01 Nov 2020
Shortcut Learning in Deep Neural Networks Robert Geirhos J. Jacobsen Claudio Michaelis R. Zemel Wieland Brendel Matthias Bethge Felix Wichmann 120 2,023 0 16 Apr 2020
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter Victor Sanh Lysandre Debut Julien Chaumond Thomas Wolf 52 7,386 0 02 Oct 2019
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 309 24,160 0 26 Jul 2019
On the Difficulty of Evaluating Baselines: A Study on Recommender Systems Steffen Rendle Li Zhang Y. Koren 43 127 0 04 May 2019
Argument Mining for Understanding Peer Reviews Xinyu Hua M. Nikolov Nikhil Badugu Lu Wang LRM 23 82 0 25 Mar 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 575 93,936 0 11 Oct 2018