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Found 12 papers, 7 papers with code
A Corpus for Multilingual Analysis of Online Terms of Service
We present the first annotated corpus for multilingual analysis of potentially unfair clauses in online Terms of Service.
Detecting Arguments in CJEU Decisions on Fiscal State Aid
The successful application of argument mining in the legal domain can dramatically impact many disciplines related to law.
Multimodal Argument Mining: A Case Study in Political Debates
We propose a study on multimodal argument mining in the domain of political debates.
A Corpus for Sentence-level Subjectivity Detection on English News Articles
We develop novel annotation guidelines for sentence-level subjectivity detection, which are not limited to language-specific cues.
LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain
To provide a fair comparison, we propose two aggregate scores, one based on the datasets and one on the languages.
BANANA: a Benchmark for the Assessment of Neural Architectures for Nucleic Acids
Machine learning has always played an important role in bioinformatics and recent applications of deep learning have allowed solving a new spectrum of biologically relevant tasks.
An Argumentative Dialogue System for COVID-19 Vaccine Information
Dialogue systems are widely used in AI to support timely and interactive communication with users.
Multi-Task Attentive Residual Networks for Argument Mining
We explore the use of residual networks and neural attention for multiple argument mining tasks.
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Cross-lingual Annotation Projection in Legal Texts
We study annotation projection in text classification problems where source documents are published in multiple languages and may not be an exact translation of one another.
Neural-Symbolic Argumentation Mining: an Argument in Favor of Deep Learning and Reasoning
Deep learning is bringing remarkable contributions to the field of argumentation mining, but the existing approaches still need to fill the gap toward performing advanced reasoning tasks.
Attention in Natural Language Processing
Attention is an increasingly popular mechanism used in a wide range of neural architectures.
Argumentative Link Prediction using Residual Networks and Multi-Objective Learning
We explore the use of residual networks for argumentation mining, with an emphasis on link prediction.
