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National Leaders’ Usage of Twitter in Response to COVID-19: A Sentiment Analysis

Yuming Wang, Stephen M Croucher, Stephen M Croucher, Erika Pearson • Frontiers in Communication (2021)

Twitter is a powerful tool for world leaders to disseminate public health information and to reach citizens. While Twitter, like other platforms, affords world leaders the opportunity to rapidly present information to citizens, the discours...

DOAJ Open Access (DOAJ) DOI: 10.3389/fcomm.2021.732399

Weighted DAG Automata for Semantic Graphs

David Chiang, Frank Drewes, Daniel Gildea, Adam Lopez et al. • Computational Linguistics (2018)

Graphs have a variety of uses in natural language processing, particularly as representations of linguistic meaning. A deficit in this area of research is a formal framework for creating, combining, and using models involving graphs that pa...

DOAJ Open Access (DOAJ) DOI: 10.1162/COLI_a_00309

Enhancing educational semantic retrieval through dual objective fine tuning of open source embedding models

Ramteja Sajja, Yusuf Sermet, Ibrahim Demir • Discover Education (2026)

Abstract Recent advances in AI have catalyzed the adoption of intelligent educational tools, yet many semantic retrieval systems remain ill-suited to the unique linguistic and structural characteristics of academic content. This study prese...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44217-026-01825-y

Adversarial Attacks on Deep-learning Models in Natural Language Processing

Wei Emma Zhang, Quan Z. Sheng, Ahoud Alhazmi, Chenliang Li • ACM Transactions on Intelligent Systems and Technology (2020)

With the development of high computational devices, deep neural networks (DNNs), in recent years, have gained significant popularity in many Artificial Intelligence (AI) applications. However, previous efforts have shown that DNNs are vulne...

OPENALEX Open Access DOI: https://doi.org/10.1145/3374217

Recent Advances in Natural Language Processing

• Amsterdam studies in the theory and history of linguistic science. Series 4, Current issues in linguistic theory (2000)

This volume brings together revised versions of a selection of papers presented at the Second International Conference on “Recent Advances in Natural Language Processing” (RANLP’97) held in Tzigov Chark, Bulgaria, September 1997. The aim of...

OPENALEX DOI: https://doi.org/10.1075/cilt.189

Connectionist Approaches to Natural Language Processing

Chris Sinha, Ronan G. Reilly, NOEL E. SHARKEY • The American Journal of Psychology (1994)

Preface, N. Sharkey and R. Reilly connectionist natural language processing semantics, M.D. Dyer, et al distributed symbol discovery through symbol recirculation - toward natural language processing in distributed connectionist networks, R....

OPENALEX DOI: https://doi.org/10.2307/1423043

On a Cognitive Model of Semiosis

Konderak Piotr • Studies in Logic, Grammar and Rhetoric (2015)

What is the class of possible semiotic systems? What kinds of systems could count as such systems? The human mind is naturally considered the prototypical semiotic system. During years of research in semiotics the class has been broadened t...

DOAJ Open Access (DOAJ) DOI: 10.1515/slgr-2015-0007

Attention Pooling-Based Bidirectional GRU Model for Sentimental Classification

Dejun Zhang, Mingbo Hong, Lu Zou, Fei Han et al. • International Journal of Computational Intelligence Systems

Recurrent neural network (RNN) is one of the most popular architectures for addressing variable sequence text, and it shows outstanding results in many natural language processing (NLP) tasks and remarkable performance in capturing long-ter...

DOAJ Open Access (DOAJ) DOI: 10.2991/ijcis.d.190710.001

The fluency-based semantic network of LLMs differs from humans

Ye Wang, Yaling Deng, Ge Wang, Tong Li et al. • Computers in Human Behavior: Artificial Humans (2025)

Modern Large Language Models (LLMs) exhibit complexity and granularity similar to humans in the field of natural language processing, challenging the boundaries between humans and machines in language understanding and creativity. However, ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.chbah.2024.100103

Natural Language Processing Advancements By Deep Learning: A Survey

Amirsina Torfi, Rouzbeh A. Shirvani, Yaser Keneshloo, Nader Tavaf et al. • arXiv (Cornell University) (2020)

Natural Language Processing (NLP) helps empower intelligent machines by enhancing a better understanding of the human language for linguistic-based human-computer communication. Recent developments in computational power and the advent of l...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.2003.01200

Natural language processing

Alexander F. Gelbukh • International Conference on Hybrid Intelligent Systems (HIS) (2005)

Summary form only given. Natural language processing (NLP) is a major area of artificial intelligence research, which in its turn serves as a field of application and interaction of a number of other traditional AI areas. Until recently, th...

OPENALEX DOI: https://doi.org/10.1109/ichis.2005.79

Natural Language Processing

V. Vishnuprabha, Lino Murali, Daleesha M Viswanathan • Apple Academic Press eBooks (2021)

Understanding and processing human language has always been a complicated task in computational theory. Natural language processing, a combination of artificial intelligence and computational linguistics, employs computational techniques to...

OPENALEX DOI: https://doi.org/10.1201/9781003082033-19

Diminished Auditory Responses during NREM Sleep Correlate with the Hierarchy of Language Processing.

Meytal Wilf, Michal Ramot, Edna Furman-Haran, Anat Arzi et al. • PLoS ONE (2016)

Natural sleep provides a powerful model system for studying the neuronal correlates of awareness and state changes in the human brain. To quantitatively map the nature of sleep-induced modulations in sensory responses we presented participa...

DOAJ Open Access (DOAJ) DOI: 10.1371/journal.pone.0157143