Results 31 to 40 of about 74,248 (253)

fhswf/tagflip-autonlp: auto-nlp-ui-v1.0.3

, 2022
auto-nlp-ui-v1.0.3 (2022-03-23) Bug Fixes ui: fix project navigation menu (b40034f) ui: show correct task type labels in menu ...
Semantic Release Bot, Christian Gawron, tnte   +2 more
core   +1 more source

Persian Causality Corpus (PerCause) and the Causality Detection Benchmark

Iranian 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

Information, 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, Rodrigo Agerri, Iñaki Alegria   +2 more
doaj   +1 more source

Improving Cultural Heritage conservation: LSTM neural networks to effectively processing end-user’s maintenance requests

Vitruvio: International Journal of Architectural Technology and Sustainability, 2023
Preventive conservation of cultural heritage can avoid or minimize future damage, deterioration, loss and consequently, any invasive intervention. Recently, Machine Learning methods were proposed to support preventive conservation and maintenance plans ...
Marco D'Orazio, Gabriele Bernardini, Elisa Di Giuseppe   +2 more
doaj   +1 more source

Status of NLP for Vertical Mongolian

, 2021
In June 2019 the Mongolian and Inner Asian Studies Unit at the Department of Social Anthropology, Cambridge University, carried out a six-month incubator project to assess the state of available NLP tools for use with vertical Mongolian (Uyghur script ...
Faggionato, Christian, Yunshaab, Sargai, Diemberger, Hildegard, Barnett, Robert   +3 more
core   +1 more source

Ontology-based Complementary Breastfeeding Search Model

IJCCS (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, Anny Kartika Sari, Agus Sihabuddin   +2 more
doaj   +1 more source

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

Big 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, Alexandr Axyonov, Timur Abdulkadirov, Darya Koryakovskaya, Dmitry Ryumin   +4 more
doaj   +1 more source

Multimodal Sequential Fashion Attribute Prediction

Information, 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, Kairit Sirts, Mark Fishel, Gholamreza Anbarjafari   +3 more
doaj   +1 more source

NLP for Japanese workers' mental well-being: pilot study [PDF]

, 2019
Purpose Although numerous national and organisational level approaches have taken to improve their mental health, Japanese workers still suffer from high rates of mental health problems.
Sheffield, David, Kotera, Yasuhiro, Sheffield, D., Kotera, Y.   +3 more
core   +1 more source

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

Machine 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, Alexandr Axyonov, Darya Koryakovskaya, Timur Abdulkadirov, Angelina Egorova, Sergey Fedchin, Alexander Zaburdaev, Dmitry Ryumin   +7 more
doaj   +1 more source