most citedClassification of Human- and AI-Generated Texts: Investigating Features for ChatGPT

61 citations · 130 across the 5 of their papers we have counts for

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cs.CL202323 cited

Vulgar Remarks Detection in Chittagonian Dialect of Bangla

Tanjim Mahmud, Michal Ptaszynski, Fumito Masui

The negative effects of online bullying and harassment are increasing with Internet popularity, especially in social media. One solution is using natural language processing (NLP)…

cs.CL202361 cited

Classification of Human- and AI-Generated Texts: Investigating Features for ChatGPT

Lorenz Mindner, Tim Schlippe, Kristina Schaaff

Recently, generative AIs like ChatGPT have become available to the wide public. These tools can for instance be used by students to generate essays or whole theses. But how does a…

cs.CL202323 cited

Detection of depression on social networks using transformers and ensembles

Ilija Tavchioski, Marko Robnik-Šikonja, Senja Pollak

As the impact of technology on our lives is increasing, we witness increased use of social media that became an essential tool not only for communication but also for sharing infor…

cs.CL202323 cited

XAI in Computational Linguistics: Understanding Political Leanings in the Slovenian Parliament

Bojan Evkoski, Senja Pollak

The work covers the development and explainability of machine learning models for predicting political leanings through parliamentary transcriptions. We concentrate on the Slovenia…

cs.CL2021

LSH methods for data deduplication in a Wikipedia artificial dataset

Juan Ciro, Daniel Galvez, Tim Schlippe +1

This paper illustrates locality sensitive hasing (LSH) models for the identification and removal of nearly redundant data in a text dataset. To evaluate the different models, we cr…