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Gerhard Heyer

5 accepted papers

2024

Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models

EMNLP 2024main

Active learning is an iterative labeling process that is used to obtain a small labeled subset, despite the absence of labeled data, thereby enabling to train a model for supervised tasks such as text classification.While active learning has made considerable progress in recent years due to improvem…

2021

Casting the Same Sentiment Classification Problem

EMNLP 2021finding

We introduce and study a problem variant of sentiment analysis, namely the “same sentiment classification problem”, where, given a pair of texts, the task is to determine if they have the same sentiment, disregarding the actual sentiment polarity. Among other things, our goal is to enable a more top…

2021

On Classifying whether Two Texts are on the Same Side of an Argument

EMNLP 2021main

To ease the difficulty of argument stance classification, the task of same side stance classification (S3C) has been proposed. In contrast to actual stance classification, which requires a substantial amount of domain knowledge to identify whether an argument is in favor or against a certain issue,…

2021

Press Freedom Monitor: Detection of Reported Press and Media Freedom Violations in Twitter and News Articles

EMNLP 2021system demonstrations

Freedom of the press and media is of vital importance for democratically organised states and open societies. We introduce the Press Freedom Monitor, a tool that aims to detect reported press and media freedom violations in news articles and tweets. It is used by press and media freedom organisation…

Cited by 0SourcePDFScholar
2021

Supporting Land Reuse of Former Open Pit Mining Sites using Text Classification and Active Learning

ACL 2021long

Open pit mines left many regions worldwide inhospitable or uninhabitable. Many sites are left behind in a hazardous or contaminated state, show remnants of waste, or have other restrictions imposed upon them, e.g., for the protection of human or nature. Such information has to be permanently managed…