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20092026
most citedAn Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks

432 citations

Showing cs.CLShow all

8 papers · 1 filter

cs.CL2026★ 1 cited

Interpretable Text Classification Applied to the Detection of LLM-generated Creative Writing

Minerva Suvanto, Andrea McGlinchey, Mattias Wahde +1

We consider the problem of distinguishing human-written creative fiction (excerpts from novels) from similar text generated by an LLM. Our results show that, while human observers…

cs.CL2024

Investigating Markers and Drivers of Gender Bias in Machine Translations

Peter J Barclay, Ashkan Sami

Implicit gender bias in Large Language Models (LLMs) is a well-documented problem, and implications of gender introduced into automatic translations can perpetuate real-world biase…

cs.CL2021

CAPE: Context-Aware Private Embeddings for Private Language Learning

Richard Plant, Dimitra Gkatzia, Valerio Giuffrida

Deep learning-based language models have achieved state-of-the-art results in a number of applications including sentiment analysis, topic labelling, intent classification and othe…

cs.CL2021★ 1 cited

Underreporting of errors in NLG output, and what to do about it

Emiel van Miltenburg, Miruna-Adriana Clinciu, Ondřej Dušek +8

We observe a severe under-reporting of the different kinds of errors that Natural Language Generation systems make. This is a problem, because mistakes are an important indicator o…

cs.CL2021★ 98 cited

A Novel Context-Aware Multimodal Framework for Persian Sentiment Analysis

Kia Dashtipour, Mandar Gogate, Erik Cambria +1

Most recent works on sentiment analysis have exploited the text modality. However, millions of hours of video recordings posted on social media platforms everyday hold vital unstru…

cs.CL2020★ 1 cited

Persuasive Dialogue Understanding: the Baselines and Negative Results

Hui Chen, Deepanway Ghosal, Navonil Majumder +2

Persuasion aims at forming one's opinion and action via a series of persuasive messages containing persuader's strategies. Due to its potential application in persuasive dialogue s…