Operating machine learning across natural language processing techniques for improvement of fabricated news model

K Sharifani, M Amini, Y Akbari… - … Journal of Science …, 2022 - papers.ssrn.com
Fake news or fabricated news, refers to false information published under the guise of being
authentic news, often to influence political views. Fabricated news articles are a threat to …

[HTML][HTML] Is text preprocessing still worth the time? A comparative survey on the influence of popular preprocessing methods on Transformers and traditional classifiers

M Siino, I Tinnirello, M La Cascia - Information Systems, 2024 - Elsevier
With the advent of the modern pre-trained Transformers, the text preprocessing has started
to be neglected and not specifically addressed in recent NLP literature. However, both from …

Cif-bench: A chinese instruction-following benchmark for evaluating the generalizability of large language models

Y Li, G Zhang, X Qu, J Li, Z Li, Z Wang, H Li… - arXiv preprint arXiv …, 2024 - arxiv.org
The advancement of large language models (LLMs) has enhanced the ability to generalize
across a wide range of unseen natural language processing (NLP) tasks through instruction …

McRock at SemEval-2022 task 4: Patronizing and condescending language detection using multi-channel CNN, hybrid LSTM, DistilBERT and XLNet

M Siino, M Cascia, I Tinnirello - Proceedings of the 16th …, 2022 - aclanthology.org
In this paper we propose four deep learning models for the task of detecting and classifying
Patronizing and Condescending Language (PCL) using a corpus of over 13,000 annotated …

Machamp at semeval-2022 tasks 2, 3, 4, 6, 10, 11, and 12: Multi-task multi-lingual learning for a pre-selected set of semantic datasets

R Van der Goot - Proceedings of the 16th International Workshop …, 2022 - aclanthology.org
Previous work on multi-task learning in Natural Language Processing (NLP)
oftenincorporated carefully selected tasks as well as carefully tuning ofarchitectures to share …

Your spouse needs professional help: Determining the contextual appropriateness of messages through modeling social relationships

D Jurgens, A Seth, J Sargent, A Aghighi… - arXiv preprint arXiv …, 2023 - arxiv.org
Understanding interpersonal communication requires, in part, understanding the social
context and norms in which a message is said. However, current methods for identifying …

BEIKE NLP at semeval-2022 task 4: prompt-based paragraph classification for patronizing and condescending language detection

Y Deng, C Dou, L Chen, D Miao, X Sun, B Ma… - arXiv preprint arXiv …, 2022 - arxiv.org
PCL detection task is aimed at identifying and categorizing language that is patronizing or
condescending towards vulnerable communities in the general media. Compared to other …

DH-FBK at SemEval-2022 task 4: Leveraging annotators' disagreement and multiple data views for patronizing language detection

A Ramponi, E Leonardelli - … of the 16th International Workshop on …, 2022 - aclanthology.org
The subtle and typically unconscious use of patronizing and condescending language
(PCL) in large-audience media outlets undesirably feeds stereotypes and strengthens …

Sentence-crobi: A simple cross-bi-encoder-based neural network architecture for paraphrase identification

JG Ortiz-Barajas, G Bel-Enguix, H Gómez-Adorno - Mathematics, 2022 - mdpi.com
Since the rise of Transformer networks and large language models, cross-encoders have
become the dominant architecture for various Natural Language Processing tasks. When …

ASRtrans at SemEval-2022 task 4: Ensemble of tuned transformer-based models for PCL detection

AR Rao - Proceedings of the 16th International Workshop on …, 2022 - aclanthology.org
Patronizing behavior is a subtle form of bullying and when directed towards vulnerable
communities, it can arise inequalities. This paper describes our system for Task 4 of …