research
∙
05/19/2022
Towards a Holistic View on Argument Quality Prediction
Argumentation is one of society's foundational pillars, and, sparked by ...
share
research
∙
09/23/2021
Active Learning for Argument Strength Estimation
High-quality arguments are an essential part of decision-making. Automat...
research
∙
12/10/2020
Argument Mining Driven Analysis of Peer-Reviews
Peer reviewing is a central process in modern research and essential for...
research
∙
11/04/2020
Diversity Aware Relevance Learning for Argument Search
In this work, we focus on the problem of retrieving relevant arguments f...
research
∙
10/30/2020
A Critical Assessment of State-of-the-Art in Entity Alignment
In this work, we perform an extensive investigation of two state-of-the-...
research
∙
09/27/2020
Learning Self-Expression Metrics for Scalable and Inductive Subspace Clustering
Subspace clustering has established itself as a state-of-the-art approac...
research
∙
02/17/2020
Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods with Adjusted Mean Rank
In this work, we take a closer look at the evaluation of two families of...
research
∙
01/29/2020
Unsupervised Anomaly Detection for X-Ray Images
Obtaining labels for medical (image) data requires scarce and expensive ...
research
∙
01/24/2020
Active Learning for Entity Alignment
In this work, we propose a novel framework for the labeling of entity al...
research
∙
11/19/2019
Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned
In this work, we focus on the problem of entity alignment in Knowledge G...
research
∙
05/26/2019
TACAM: Topic And Context Aware Argument Mining
In this work we address the problem of argument search. The purpose of a...
research
∙
02/15/2018