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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

A recurrent neural network framework for flexible and adaptive decision making based on sequence learning.

Zhewei Zhang, Huzi Cheng, Tianming Yang • PLoS Computational Biology (2020)

The brain makes flexible and adaptive responses in a complicated and ever-changing environment for an organism's survival. To achieve this, the brain needs to understand the contingencies between its sensory inputs, actions, and rewards. Th...

DOAJ Open Access (DOAJ) DOI: 10.1371/journal.pcbi.1008342

Natural Language Processing for Online Applications

Peter E. Jackson, Isabelle Moulinier • Natural language processing (2002)

Technology practitioners in the Internet space are constantly faced with difficult decision-making as to what research has been done and what the best practices are. This lucid text covers the emerging technologies of document retrieval, in...

OPENALEX DOI: https://doi.org/10.1075/nlp.5(1st)

A systematic review of natural language processing applied to radiology reports

Arlene Casey, Emma Davidson, Michael Poon, Hang Dong et al. • BMC Medical Informatics and Decision Making (2021)

BACKGROUND: Natural language processing (NLP) has a significant role in advancing healthcare and has been found to be key in extracting structured information from radiology reports. Understanding recent developments in NLP application to r...

OPENALEX cc-by DOI: https://doi.org/10.1186/s12911-021-01533-7 PMC: 8176715

On Application of Natural Language Processing in Machine Translation

Zhaorong Zong, Changchun Hong • International Conference on Mechanical, Control and Computer Engineering (ICMCCE) (2018)

Natural language processing is the core of machine translation. In the history, its development process is almost the same as machine translation, and the two complement each other. This article compares the natural language processing of s...

OPENALEX DOI: https://doi.org/10.1109/icmcce.2018.00112

Natural Language Processing for Policymaking

Zhijing Jin, Rada F. Mihalcea • Springer eBooks (2022)

Abstract Language is the medium for many political activities, from campaigns to news reports. Natural language processing (NLP) uses computational tools to parse text into key information that is needed for policymaking. In this chapter, w...

OPENALEX cc-by DOI: https://doi.org/10.1007/978-3-031-16624-2_7

TweetNLP: Cutting-Edge Natural Language Processing for Social Media

José Camacho-Collados, Kiamehr Rezaee, Talayeh Riahi, Asahi Ushio et al. • Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP) (2022)

Jose Camacho-collados, Kiamehr Rezaee, Talayeh Riahi, Asahi Ushio, Daniel Loureiro, Dimosthenis Antypas, Joanne Boisson, Luis Espinosa Anke, Fangyu Liu, Eugenio Martínez Cámara. Proceedings of the 2022 Conference on Empirical Methods in Nat...

OPENALEX cc-by DOI: https://doi.org/10.18653/v1/2022.emnlp-demos.5

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

A comparative empirical evaluation of semantic clustering algorithms on static word embeddings

Asefeh Asemi, Rajab Kiani Shahvandy, Mahdi Houshangi • International Journal of Information Management Data Insights (2026)

Objective: This study conducts a comprehensive empirical evaluation of semantic clustering algorithms to identify the most effective approach for automatically organizing and extracting meaning from textual data. By systematically comparing...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jjimei.2026.100396

DEVELOPMENT OF A QUESTION ANSWERING CHATBOT FOR BLOCKCHAIN DOMAIN

Aigerim Mansurova, Aliya Nugumanova, Zhansaya Makhambetova • Scientific Journal of Astana IT University (2023)

Large Language Models (LLMs), such as ChatGPT, have transformed the field of natural language processing with their capacity for language comprehension and generation of human-like, fluent responses for many downstream tasks. Despite their ...

DOAJ Open Access (DOAJ) DOI: 10.37943/15XNDZ6667