Results 21 to 30 of about 42,209 (169)
On the definition of toxicity in NLP
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
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
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
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
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
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]
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
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
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
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

