Evaluation and Analysis of the NLP Model Zoo for Ukrainian Text Classification
One of the crucial problems of natural language processing for languages such as Ukrainian
is lack of datasets both unlabeled (for pretraining of word embeddings or large deep …
is lack of datasets both unlabeled (for pretraining of word embeddings or large deep …
Ukrainian news corpus as text classification benchmark
One of the crucial problems of natural language processing for languages such as Ukrainian
is lack of datasets both unlabeled (for pretraining of word embeddings or large deep …
is lack of datasets both unlabeled (for pretraining of word embeddings or large deep …
Experimental Evaluation for Text Classification using Improved Deep Learning Models
BK Chowdary - 2022 4th International Conference on Advances …, 2022 - ieeexplore.ieee.org
Language use on online platforms has dramatically expanded over the last ten years.
Turkish text natural language processing (NLP) research, however, has not gotten much …
Turkish text natural language processing (NLP) research, however, has not gotten much …
Experimental evaluation of deep learning models for marathi text classification
A Kulkarni, M Mandhane, M Likhitkar… - Proceedings of the 2nd …, 2022 - Springer
The Marathi language is one of the prominent languages used in India. It is predominantly
spoken by the people of Maharashtra. Over the past decade, the usage of language on …
spoken by the people of Maharashtra. Over the past decade, the usage of language on …
[HTML][HTML] Text data augmentation and pre-trained Language Model for enhancing text classification of low-resource languages
Background In the domain of natural language processing (NLP), the development and
success of advanced language models are predominantly anchored in the richness of …
success of advanced language models are predominantly anchored in the richness of …
Pretrained neural models for turkish text classification
In the text classification process, which is a sub-task of NLP, the preprocessing and indexing
of the text has a direct determining effect on the performance for NLP models. When the …
of the text has a direct determining effect on the performance for NLP models. When the …
[PDF][PDF] Pretraining and Evaluation of Czech ALBERT Language Model
P Zelina - Bachelor thesis, Masaryk University, Fakulty of …, 2020 - is.muni.cz
This thesis explores a new language model called ALBERT, released by Google Research
in 2019. The ALBERT architecture has been very successful in English NLP tasks, and this …
in 2019. The ALBERT architecture has been very successful in English NLP tasks, and this …
Text classification using neural network language model (nnlm) and bert: An empirical comparison
A Esmaeilzadeh, K Taghva - … and Applications: Proceedings of the 2021 …, 2022 - Springer
Text Classification is one of the most cited applications of Natural Language Processing.
Classification can save the cost of manual efforts and at the same time increase the …
Classification can save the cost of manual efforts and at the same time increase the …
[HTML][HTML] Classification of scientific documents in the Kazakh language using deep neural networks and a fusion of images and text
A Bogdanchikov, D Ayazbayev, I Varlamis - Big Data and Cognitive …, 2022 - mdpi.com
The rapid development of natural language processing and deep learning techniques has
boosted the performance of related algorithms in several linguistic and text mining tasks …
boosted the performance of related algorithms in several linguistic and text mining tasks …
Ukrainian Texts Classification: Exploration of Cross-lingual Knowledge Transfer Approaches
Despite the extensive amount of labeled datasets in the NLP text classification field, the
persistent imbalance in data availability across various languages remains evident …
persistent imbalance in data availability across various languages remains evident …