Online DATEing

Aumiller, Dennis; Almasian, Satya; Piccoli, David A.; Gertz, Michael

doi:10.1145/3477495.3531670

Cited by 4 publications

(1 citation statement)

References 13 publications

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“…The dataset consisted of unaligned articles from one adult-targeting and one childtargeting journal, and was later improved and enlarged by (Weiß and Meurers, 2018), which added unaligned transcripts from one adult-targeting and one child-targeting German TV news show. Similarly, (Aumiller and Gertz, 2022) published a German document-aligned dataset with lexicon articles for adults and for children. The first sentencealigned German simplification dataset was published in 2013 (Klaper et al, 2013) with 270 articles from five different websites, mainly of organizations that support people with disabilities.…”

Section: Related Workmentioning

confidence: 99%

Language Representation Models: An Overview

Schomacker

Tropmann-Frick

2021

Entropy

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In the last few decades, text mining has been used to extract knowledge from free texts. Applying neural networks and deep learning to natural language processing (NLP) tasks has led to many accomplishments for real-world language problems over the years. The developments of the last five years have resulted in techniques that have allowed for the practical application of transfer learning in NLP. The advances in the field have been substantial, and the milestone of outperforming human baseline performance based on the general language understanding evaluation has been achieved. This paper implements a targeted literature review to outline, describe, explain, and put into context the crucial techniques that helped achieve this milestone. The research presented here is a targeted review of neural language models that present vital steps towards a general language representation model.

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Section: Related Workmentioning

confidence: 99%