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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

Understanding the regulatory grammar of sepsis-causing Staphylococcus aureus bacteria using contexualised DNA language models

Tyrone Chen, Anton Y. Peleg, Sonika Tyagi • Scientific Reports (2025)

Abstract To efficiently and accurately understand, detect, and treat sepsis, we require a deep understanding of how its underlying biological systems work. Conventional methods struggle to provide a detailed view of both the functional and ...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-16701-2

Developing Clinical Risk Prediction Models for Worsening Heart Failure Events and Death by Left Ventricular Ejection Fraction

Rishi V. Parikh, Alan S. Go, Ankeet S. Bhatt, Thida C. Tan et al. • Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease (2023)

Background There is a need to develop electronic health record–based predictive models for worsening heart failure (WHF) events across clinical settings and across the spectrum of left ventricular ejection fraction (LVEF). Methods and Resul...

DOAJ Open Access (DOAJ) DOI: 10.1161/JAHA.122.029736

Optimizing Tourism Accommodation Offers by Integrating Language Models and Knowledge Graph Technologies

Andrea Cadeddu, Alessandro Chessa, Vincenzo De Leo, Gianni Fenu et al. • Information (2024)

Online platforms have become the primary means for travellers to search, compare, and book accommodations for their trips. Consequently, online platforms and revenue managers must acquire a comprehensive comprehension of these dynamics to f...

DOAJ Open Access (DOAJ) DOI: 10.3390/info15070398

Is ChatGPT a General-Purpose Natural Language Processing Task Solver?

Chengwei Qin, Aston Zhang, Zhuosheng Zhang, Jiaao Chen et al. • Conference on Empirical Methods in Natural Language Processing (EMNLP) (2023)

Spurred by advancements in scale, large language models (LLMs) have demonstrated the ability to perform a variety of natural language processing (NLP) tasks zero-shot-i.e., without adaptation on downstream data.Recently, the debut of ChatGP...

OPENALEX cc-by DOI: https://doi.org/10.18653/v1/2023.emnlp-main.85

Natural language processing

Ralph Grishman • Journal of the American Society for Information Science (1984)

Abstract Natural language processing has two primary roles to play in the storage and retrieval of large bodies of information: providing a friendly, easily‐learned interface to information retrieval systems, and automatically structuring t...

OPENALEX DOI: https://doi.org/10.1002/asi.4630350507

Natural language processing in information retrieval

Tamas E. Doszkocs • Journal of the American Society for Information Science (1986)

The role and contributions of natural-language processing in information-retrieval and artificial-intelligence research is examined in the context of large operational information-retrieval systems and services. State-of-the-art information...

OPENALEX DOI: https://doi.org/10.1002/(sici)1097-4571(198607)37:4<191::aid-asi3>3.0.co;2-y