Results 21 to 30 of about 42,209 (169)

On the definition of toxicity in NLP

open access: yesCoRR, 2023
The fundamental problem in toxicity detection task lies in the fact that the toxicity is ill-defined. This causes us to rely on subjective and vague data in models' training, which results in non-robust and non-accurate results: garbage in - garbage out.
Sergey Berezin   +2 more
openaire   +2 more sources

Ontology-based Complementary Breastfeeding Search Model

open access: yesIJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2022
Children's nutritional requirements differ from those of adults. The health ministry's Indonesian data shows that in 2017, there were 17.8% of malnourished children under five years old (toddlers), one of which was related to complementary breastfeeding ...
Astrid Noviana Paradhita   +2 more
doaj   +1 more source

Persian Causality Corpus (PerCause) and the Causality Detection Benchmark

open access: yesIranian Journal of Information Processing & Management, 2022
Recognizing causal elements and causal relations in the text is among the challenging issues in natural language processing (NLP), specifically in low-resource languages such as Persian. In this research, we prepare a causality human-annotated corpus for
Zeinab Rahimi, Mehrnoush ShamsFard
doaj  

Large Scale Linguistic Processing of Tweets to Understand Social Interactions among Speakers of Less Resourced Languages: The Basque Case

open access: yesInformation, 2019
Social networks like Twitter are increasingly important in the creation of new ways of communication. They have also become useful tools for social and linguistic research due to the massive amounts of public textual data available.
Joseba Fernandez de Landa   +2 more
doaj   +1 more source

Cross-Lingual Bimodal Emotion Recognition with LLM-Based Label Smoothing

open access: yesBig Data and Cognitive Computing
Bimodal emotion recognition based on audio and text is widely adopted in video-constrained real-world applications such as call centers and voice assistants.
Elena Ryumina   +4 more
doaj   +1 more source

Multimodal Sequential Fashion Attribute Prediction

open access: yesInformation, 2019
We address multimodal product attribute prediction of fashion items based on product images and titles. The product attributes, such as type, sub-type, cut or fit, are in a chain format, with previous attribute values constraining the values of the next ...
Hasan Sait Arslan   +3 more
doaj   +1 more source

Socially Responsible NLP [PDF]

open access: yesProceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Tutorial Abstracts, 2018
As language technologies have become increasingly prevalent, there is a growing awareness that decisions we make about our data, methods, and tools are often tied up with their impact on people and societies. This tutorial will provide an overview of real-world applications of language technologies and the potential ethical implications associated with
Yulia Tsvetkov   +2 more
openaire   +1 more source

SSL-MEPR: A Semi-Supervised Multi-Task Cross-Domain Learning Framework for Multimodal Emotion and Personality Recognition

open access: yesMachine Learning and Knowledge Extraction
The growing demand for personalized human–computer interaction calls for methods that jointly model emotional states and personality traits. However, large-scale multimodal corpora annotated for both tasks are still lacking.
Elena Ryumina   +7 more
doaj   +1 more source

Sentiment Analysis of the Top 5 E-commerce Platforms in Indonesia using Text Mining and Natural Language Processing (NLP)

open access: yesJournal of Applied Informatics and Computing, 2023
This research attempts to depict a sentiment comparison of the top 5 E-commerce platforms in Indonesia by gathering the emotional tone behind sentence contents related to customer sentiments, customer experiences, and the brand reputation of E-commerce ...
R. A. E. Virgana Targa Sapanji   +2 more
doaj   +1 more source

Modern Approaches to Detect and Classify Comment Toxicity Using Neural Networks

open access: yesМоделирование и анализ информационных систем, 2020
The growth of popularity of online platforms which allow users to communicate with each other, share opinions about various events, and leave comments boosted the development of natural language processing algorithms. Tens of millions of messages per day
Sergey V. Morzhov
doaj   +1 more source

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