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Found 8 papers, 4 papers with code
Towards a Holistic View on Argument Quality Prediction
While there are works on the automated estimation of argument strength, their scope is narrow: they focus on isolated datasets and neglect the interactions with related argument mining tasks, such as argument identification, evidence detection, or emotional appeal.
Conifer Seedling Detection in UAV-Imagery with RGB-Depth Information
Increasing the resolution of this height information also showed little effect.
Active Learning for Argument Strength Estimation
High-quality arguments are an essential part of decision-making.
Argument Mining Driven Analysis of Peer-Reviews
Peer reviewing is a central process in modern research and essential for ensuring high quality and reliability of published work.
Diversity Aware Relevance Learning for Argument Search
In this work, we focus on the problem of retrieving relevant arguments for a query claim covering diverse aspects.
Unsupervised Anomaly Detection for X-Ray Images
Therefore, we adopt state-of-the-art approaches for unsupervised learning to detect anomalies and show how the outputs of these methods can be explained.
Using Supervised Learning to Classify Metadata of Research Data by Discipline of Research
Both applications perform at scale with the proposed models which are available for re-use.
TACAM: Topic And Context Aware Argument Mining
In previous works, the usual approach is to use a standard search engine to extract text parts which are relevant to the given topic and subsequently use an argument recognition algorithm to select arguments from them.
