Academic Articles & Research Papers

Natural Language Processing

The AI approach applies to natural language processing. The AI communication approach uses intelligent systems. These intelligent systems, such as English, use natural languages. The process of Natural Language required a smart machine such...

Pathways to schizophrenia: Divergent effects of childhood trauma and polygenic risk on cognition and subcortical dynamics.

Positional impact on ocular lens and thyroid radiation doses during feline cranial CT: A thermoluminescent dosimetry study of 70 cases.

Application of 3D-Slicer combined with 3D printing technology in training neurosurgery resident physicians' imaging spatial cognition and clinical reasoning: A self-controlled before- and after-study.

Growth and development in paediatric onset inflammatory bowel disease: Data analysis from the CEDATA registry.

Applications and outcomes of virtual reality in inpatient psychiatry: A systematic review.

Autistic menopause: Where should research go from here?

Study on Building Business-oriented Resource On-demand Resolution Model

To address the issue of re-analyzing and repeating development of natural language processing tools and resource ana-lysis plugins when new requirements arise during project development,this paper proposes a business-oriented on-demand reso...

Attention Pooling-Based Bidirectional GRU Model for Sentimental Classification

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...

Le magistrat congolais face au blanchiment d’argent sale

Résumé : L’étude menée par nous qui se solde par la présentation des résultats sous format d’un article porte sur « le magistrat congolais face au blanchiment d’argent sale ». Il répond à la question de savoir si le magistrat congolais peut...

GBsim: A Robust GCN-BERT Approach for Cross-Architecture Binary Code Similarity Analysis

Recent advances in graph neural networks have transformed structural pattern learning in domains ranging from social network analysis to biomolecular modeling. Nevertheless, practical deployments in mission-critical scenarios such as binary...

Zur Vokalquantität in der Mundart der Stadt Zürich

This paper analyses the vowel system of the dialect spoken in the city of Zürich, which shows a systematic use of distinctive length contrasts. In order to ascertain the acoustic correlates of the quantity feature, an experimental study has...

Detecting Fake News in Urdu Language Using Machine Learning, Deep Learning, and Large Language Model-Based Approaches

Fake news is false or misleading information that looks like real news and spreads through traditional and social media. It has a big impact on our social lives, especially in politics. In Pakistan, where Urdu is the main language, finding ...

Problembezeichnung und Problemerlebnis - Gedanken zum problematischen Selbstverständnis einer Übersetzungswissenschaft

This study, related to the discussion concerning the basis of an "ÜW" (Science of Translation), aims to show the connection between the problems, which are concretely lived in the praxis of studies and researches (concentrated on the genera...

It-clefts as pragmatically-motivated extraposed constructions?

This paper investigates the discursive and pragmatic functions of it-clefts in contemporary English. The qualitative corpus-based study is based on the hypothesis that an it-cleft originates from the extraposition of a complex noun phrase i...

Evaluation system of college english teaching quality based on fuzzy information of artificial intelligence

Abstract The current evaluation of English teaching quality in colleges and universities faces the problems of information uncertainty and fuzziness. Traditional evaluation methods cannot accurately reflect the complex teaching effects, mai...

Book Review

Building Dynamic Lexicons for Sentiment Analysis

Nowadays, many approaches for Sentiment Analysis (SA) rely on affective lexicons to identify emotions transmitted in opinions. However, most of these lexicons do not consider that a word can express different sentiments in different predica...

The importance of humanizing AI: using a behavioral lens to bridge the gaps between humans and machines

Abstract One of the biggest challenges in Artificial Intelligence (AI) development and application is the lack of consideration for human enhancement as a cornerstone for its operationalization. Nor is there a universally accepted approach ...

Instance-Level Weighted Contrast Learning for Text Classification

With the explosion of information, the amount of text data has increased significantly, making text categorization a central area of research in natural language processing (NLP). Traditional machine learning methods are effective, but deep...