Academic Articles & Research Papers

Enhancing sentiment classification on small datasets through data augmentation and transfer learning

Abstract Small-scale sentiment classification often suffers from data scarcity, which limits the generalization ability of the models. This study evaluates and compares the effectiveness of three data augmentation strategies: Easy Data Augm...

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

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. ...

D‐BERT: Incorporating dependency‐based attention into BERT for relation extraction

Abstract Relation extraction between entity pairs is an increasingly critical area in natural language processing. Recently, the pre‐trained bidirectional encoder representation from transformer (BERT) performs excellently on the text class...

Sequence Decision Transformer for Adaptive Traffic Signal Control

Urban traffic congestion poses significant economic and environmental challenges worldwide. To mitigate these issues, Adaptive Traffic Signal Control (ATSC) has emerged as a promising solution. Recent advancements in deep reinforcement lear...

Deutsche und polnische Phraseologie und Parömiologie im Kontakt und Kontrast

Das vorliegende Themenheft versammelt Beiträge, in denen der aktuelle Forschungsstand im Bereich der deutsch-polnischen und polnisch-deutschen Phraseologie und Parömiologie präsentiert wird. Die Idee zu diesem Themenheft ergab sich aus dem ...

Emergency department triaging using ChatGPT based on emergency severity index principles: a cross-sectional study

Abstract Erroneous and delayed triage in an increasingly crowded emergency department (ED). ChatGPT is an artificial intelligence model developed by OpenAI® and is being trained for use in natural language processing tasks. Our study aims t...

A call for an interdisciplinary ethical foundation for GenAI governance in higher education

Abstract Generative artificial intelligence (GenAI) systems are increasingly embedded in higher education, shaping writing, instructional design, and institutional approaches to academic integrity. In response, universities have developed p...

Quantifying Gender Bias in Large Language Models Using Information-Theoretic and Statistical Analysis

Large language models (LLMs) have revolutionized natural language processing across diverse domains, yet they also raise critical fairness and ethical concerns, particularly regarding gender bias. In this study, we conduct a systematic, mat...

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

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...

Маркування інтертекстуальності в художньому дискурсі ХХ століття

Статтю присвячено дослідженню маркування інтертекстуальних включень у художньому дискурсі з метою розкриття семантико-функційного потенціалу імпліцитних та експліцитних маркерів інтертекстуальності у творах американських та англійських пись...

Sexy Danes, Tipsy Germans: The Use of Positive Cultural Stereotypes in Nation Branding Efforts

While nation-branding campaigns have become a popular means for governments to attempt to improve their country’s standing on international indexes, such as the Anholt-Gfk Roper Nation Brand Index (NBI), the generally static ranking on such...

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

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...

Spontanschreibung im Chat

In this article spontaneous writing in chat communication is analyzed in two aspects. On one hand, the spelling forms found here show some language change tendencies in the German spoken language. On the other hand, the article tries to des...

Rezension zu: Gisela Schoenthal (Hrsg.): Feministische Linguistik - linguistische Geschlechterforschung. Ergebnisse, Konsequenzen, Perspektiven

Advances in Natural Language Processing

Unlocking Clinical Data from Narrative Reports: A Study of Natural Language Processing

OBJECTIVE: To evaluate the automated detection of clinical conditions described in narrative reports. DESIGN: Automated methods and human experts detected the presence or absence of six clinical conditions in 200 admission chest radiograph ...

A Simple Introduction to Maximum Entropy Models for Natural Language Processing

Many problems in natural language processing can be viewed as linguistic classification problems, in which linguistic contexts are used to predict linguistic classes. Maximum entropy models offer a clean way to combine diverse pieces of con...

Advancements in natural language processing: Implications, challenges, and future directions

This research delves into the latest advancements in Natural Language Processing (NLP) and their broader implications, challenges, and future directions. With the ever-increasing volume of text data generated daily from diverse sources, ext...

Natural Language Processing in Psychiatry

The potential benefit of artificial intelligence (AI) technology as a tool of psychiatry has not been well defined. In this essay, the technology of natural language processing and its position with regard to the two main schools of AI is c...

Natural Language Processing for Biosurveillance