Design and Implementation of a Chatbot for Kurdish Language Speakers Using Chatfuel Platform by Hemn Karim Ahmed, Jamal Ali Hussein

“…Chatbots are mostly depend on Natural Language Processing (NLP). In this paper, the design and implementation of a chatbot are provided to help Kurdish speakers in using online conversations via texts to find answers instead of direct contact with human agents. …”
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POS Tagging Bahasa Madura dengan Menggunakan Algoritma Brill Tagger by Nindian Puspa Dewi, Ubaidi Ubaidi

“…Salah satunya adalah dengan melakukan penelitian tentang Bahasa Madura dalam bidang Natural Language Processing sehingga kedepannya pembelajaran tentang Bahasa Madura dapat dilakukan melalui media digital. …”
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The application of artificial intelligence in stroke research: A bibliometric analysis by Yun Peng, Zhen Zhao, Yutong Rao, Ke Sun, Jiayi Zou, Guanqing Liu

“…At present and in the next few years, research in this field may focus on the prediction/rapid diagnosis of potential stroke patients by using machine learning, deep learning and natural language processing.…”
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Building and Beta-Testing Be Well Buddy Chatbot, a Secure, Credible and Trustworthy AI Chatbot That Will Not Misinform, Hallucinate or Stigmatize Substance Use Disorder: Developmen... by Adam Jerome Salyers, Sheana Bull, Joshva Silvasstar, Kevin Howell, Tara Wright, Farnoush Banaei-Kashani

“…ResultsThe AI chatbot system uses natural language processing and machine learning to classify expert-curated content related to SUD. …”
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Green Human Resource Management: Analyzing sustainable practices and organizational impact through a Word2Vec approach by Shoeb Ahmad, Uzma Javed, Chetan Sharma, Mohd Shuaib Siddiqui

“…This study explores GHRM trends using a bibliometric analysis and Word2Vec-based natural language processing (NLP) approach to analyze keyword relationships. …”
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A Deep Learning Approach for Automated Depression Assessment Using Roman Urdu by Ruba Mohmand, Usman Habib, Muhammad Usman, Jamel Baili, Yunyoung Nam

“…The findings underscore the capacity of sophisticated natural language processing methods to precisely evaluate the intensity of depression in Roman Urdu text, thereby facilitating more comprehensive mental health assessments.…”
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Survey of neurocognitive disorder detection methods based on speech, visual, and virtual reality technologies by Tian ZHENG, Xinheng WANG, Xiaolan PENG, Ning SU, Tianyi XU, Xurong XIE, Jin HUANG, Lun XIE, Feng TIAN

“…Multimodal contactless screening technologies, such as speech-language processing, computer vision, and virtual reality, offer efficient and convenient methods for disease diagnosis and progression tracking. …”
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“Inheritance” Relations in Corpora: their Extraction and Implications for Dictionaries by Ekaterina Lapshinova-Koltunski

“…We show that our approach can be applied in natural language processing, especially in lexicon creation.…”
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EVALITA4ELG: Italian Benchmark Linguistic Resources, NLP Services and Tools for the ELG Platform by Viviana Patti, Valerio Basile, Cristina Bosco, Rossella Varvara, Michael Fell, Andrea Bolioli, Alessio Bosca

“…Starting from the first edition held in 2007, EVALITA is the initiative for the evaluation of Natural Language Processing tools for Italian. This paper describes the EVALITA4ELG project, whose main aim is at systematically collecting the resources released as benchmarks for this evaluation campaign, and making them easily accessible through the European Language Grid platform. …”
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A Collection of Swedish Diachronic Word Embedding Models Trained on Historical Newspaper Data by Simon Hengchen, Nina Tahmasebi

“…This data was produced in the context of Språkbanken Text’s continued mission to collaborate with humanities and natural language processing (NLP) researchers and to provide freely available language resources, for the development of state-of-the-art NLP methods and tools.…”
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6 Questions for Socially Aware Language Technologies by Diyi Yang

“… Over the last few decades, natural language processing (NLP) has dramatically improved performance and produced industrial applications like personal assistants. …”
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A model for identifying project sprint tasks based on their description by Marina Grinchenko, Mykyta Rohovyi

“…The following methods have been used: machine learning methods for classification, text vectorization methods, methods for classifying text descriptions, natural language processing methods, methods for semantic analysis of task description text, methods for processing expert opinions. …”
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Revealing the Next Word and Character in Arabic: An Effective Blend of Long Short-Term Memory Networks and ARABERT by Fawaz S. Al-Anzi, S. T. Bibin Shalini

“…This work unveils a novelty in Arabic natural language processing tasks, estimating a potential future expansion in deriving a precise next-word and next-character forecasting, which can be an efficient utility for text generation and machine translation applications.…”
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Transformer-Based Approach for Automatic Semantic Financial Document Verification by Ahmet Toprak, Metin Turan

“…Secondly, our approach employs advanced Natural Language Processing techniques for deep semantic analysis to verify the consistency of document summaries. …”
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A Reinforcement Learning-Based Generative Approach for Event Temporal Relation Extraction by Zhonghua Wu, Wenzhong Yang, Meng Zhang, Fuyuan Wei, Xinfang Liu

“…Event temporal relation extraction is a crucial task in natural language processing, aimed at recognizing the temporal relations between event triggers in a text. …”
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A model for identifying project sprint tasks based on their description by Марина Гринченко, Микита Роговий

“…The following methods have been used: machine learning methods for classification, text vectorization methods, methods for classifying text descriptions, natural language processing methods, methods for semantic analysis of task description text, methods for processing expert opinions. …”
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Identifying Patient-Reported Care Experiences in Free-Text Survey Comments: Topic Modeling Study by Brian Steele, Paul Fairie, Kyle Kemp, Adam G D'Souza, Matthias Wilms, Maria Jose Santana

“…However, advances in machine learning–based natural language processing provide opportunities to learn from this traditionally underused data source. …”
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Research of phishing detection technology by Xi ZHANG, Zhi-wei YAN, Hong-tao LI, Guang-gang GENG

“…The current status of phishing scams were analyzed and the data sets and evaluation indicators commonly used in phishing detection were summaried.On this basis,a detailed overview of the typical methods of phishing detection was given,which included blacklist strategies,heuristic methods,visual matching methods,and methods based on machine learning and natural language processing.The comparison and analysis of those methods were given,and furtherly,the challenges and future trends of phishing detection were discussed.…”
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A Survey on Sentiment Classification Methods and Challenges by Neda Keivandarian, Marco Carvalho

“…Sentiment classification (SC) is an important natural language processing (NLP) task that aims to determine the sentiment or emotional tone in a given text. …”
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COMPUTATIONAL LINGUISTICS AND ARTIFICIAL INTELLIGENCE by Affas MAAMAR & Hadjer HADJCHERIF

“…This study explores the origins and applications of computational linguistics, highlighting the crucial role of interdisciplinary approaches, which are essential for addressing the complex challenges of language processing, particularly in the context of the Arabic language. …”
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