[HTML][HTML] Global information-aware argument mining based on a top-down multi-turn QA model

B Liu, V Schlegel, P Thompson… - Information Processing …, 2023 - Elsevier
Argument mining (AM) aims to automatically generate a graph that represents the argument
structure of a document. Most previous AM models only pay attention to a single argument …

End-to-End Argument Mining as Augmented Natural Language Generation

N Das, V Choudhary, VV Saradhi, A Anand - arXiv preprint arXiv …, 2024 - arxiv.org
Argument Mining (AM) is a crucial aspect of computational argumentation, which deals with
the identification and extraction of Argumentative Components (ACs) and their …

[HTML][HTML] A Comparison-Based Framework for Argument Quality Assessment

J Bao, B Jin, Y Sun, Y Zhang, Y He, R Xu - Electronics, 2024 - mdpi.com
Assessing the quality of arguments is both valuable and challenging. Humans often find that
making pairwise comparisons between a target argument and several reference arguments …

A Siamese Neural Network Framework with Sememe-based Context Extraction for Interactive Argument Pair Identification

N Yu, J Liu, Y Shi - IEEE Signal Processing Letters, 2024 - ieeexplore.ieee.org
Interactive argument pair identification has become an essential task in natural language
processing. Existing work points out that key text segments in the context of an argument are …

From Construction to Application: Advancing Argument Mining with the Large-Scale KIALOPRIME Dataset

P Sahitaj, R Ruiz-Dolz, A Sahitaj… - … Models of Argument, 2024 - ebooks.iospress.nl
In this study, we introduce KIALOPRIME, a novel large-scale dataset comprising 5,687
argument discussion graphs with a total of 1,088,801 of supporting, attacking, and neutral …