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Showing 20 of 6,095 academic articles

Natural language processing with transformers: a review

Georgiana Țucudean, Marian Bucos, Bogdan Drăgulescu, Cătălin Daniel Căleanu • PeerJ Computer Science (2024)

Natural language processing (NLP) tasks can be addressed with several deep learning architectures, and many different approaches have proven to be efficient. This study aims to briefly summarize the use cases for NLP tasks along with the ma...

OPENALEX cc-by DOI: https://doi.org/10.7717/peerj-cs.2222 PMC: 11322986

A Multi-Stage NLP Framework for Knowledge Discovery from Crop Disease Research Literature

Jantima Polpinij, Manasawee Kaenampornpan, Christopher S. G. Khoo, Wei-Ning Cheng et al. • Mathematics (2026)

Extracting and organizing knowledge from the agricultural crop disease research literature are challenging tasks because of the heterogeneous terminologies, complicated symptom descriptions, and unstructured nature of scientific documents. ...

DOAJ Open Access (DOAJ) DOI: 10.3390/math14020299

Language Consciousness and Ukrainian Students’ Attitudes Towards the Ukrainian Language in a Time of War

Liliya Yaremko, Paweł Levchuk • Cognitive Studies | Études cognitives (2023)

By applying the survey method, the article presents and summarizes the theoretical questions of language policy, the language consciousness of students and their attitudes towards the Ukrainian language both before and after the start of th...

DOAJ Open Access (DOAJ) DOI: 10.11649/cs.2922

Natural Language Processing Techniques for Text Classification of Biomedical Documents: A Systematic Review

Cyrille YetuYetu Kesiku, Andrea Chaves-Villota, Begonya Garcia-Zapirain • Information (2022)

The classification of biomedical literature is engaged in a number of critical issues that physicians are expected to answer. In many cases, these issues are extremely difficult. This can be conducted for jobs such as diagnosis and treatmen...

DOAJ Open Access (DOAJ) DOI: 10.3390/info13100499

Applications of natural language processing and large language models in materials discovery

Xue Feng Jiang, Weiren Wang, Shaohan Tian, Hao Wang et al. • npj Computational Materials (2025)

The transformative impact of artificial intelligence (AI) technologies on materials science has revolutionized the study of materials problems. By leveraging well-characterized datasets derived from the scientific literature, AI-powered too...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1038/s41524-025-01554-0

BioBBC: a multi-feature model that enhances the detection of biomedical entities

Hind Alamro, Takashi Gojobori, Magbubah Essack, Xin Gao • Scientific Reports (2024)

Abstract The rapid increase in biomedical publications necessitates efficient systems to automatically handle Biomedical Named Entity Recognition (BioNER) tasks in unstructured text. However, accurately detecting biomedical entities is quit...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-024-58334-x

A Survey of the Application of Neural Networks to Event Extraction

Jianye Xie, Yulan Zhang, Huaizhen Kou, Xiaoran Zhao et al. • Tsinghua Science and Technology (2025)

Event extraction is an important part of natural language information extraction, and it’s widely employed in other natural language processing tasks including question answering and machine reading comprehension. However, there is a lack o...

DOAJ Open Access (DOAJ) DOI: 10.26599/TST.2023.9010139

Construction of a knowledge graph for the educational statistical indicator system based on large language models

WANG Pengyu, JIANG Shuming, WEI Zhiqiang, YU Jun, ZHANG Mengmeng • Shandong kexue (2026)

Current statistical work in the field of educational development faces challenges such as low knowledge-retrieval efficiency and high technical barriers to data utilization. This study focuses on the knowledge related to the indicator syste...

DOAJ Open Access (DOAJ) DOI: 10.3976/j.issn.1002-4026.2025079

Quantum Algorithms for Compositional Natural Language Processing

William J. Zeng, Bob Coecke • Electronic Proceedings in Theoretical Computer Science (2016)

We propose a new application of quantum computing to the field of natural language processing. Ongoing work in this field attempts to incorporate grammatical structure into algorithms that compute meaning. In (Coecke, Sadrzadeh and Clark, 2...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.4204/eptcs.221.8