Aware Computing in Spatial Language Understanding Guided by Cognitively Inspired Knowledge Representation by Masao Yokota

“…This paper describes Lmd expression of human subjective knowledge of space and its application to aware computing in cross-media operation between linguistic and pictorial expressions as spatial language understanding.…”
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Arabic Temporal Common Sense Understanding by Reem Alqifari, Hend Al-Khalifa, Simon O’Keefe

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Headline-Guided Extractive Summarization for Thai News Articles by Pimpitchaya Kositcharoensuk, Nakarin Sritrakool, Ploy N. Pratanwanich

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Using transformer-based models and social media posts for heat stroke detection by Sumiko Anno, Yoshitsugu Kimura, Satoru Sugita

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Building a Framework for Visual Question Answering Systems by Maya Abu Hamoud, Wasim Safi

“…They integrate image processing with natural language understanding to enable intelligent systems to answer questions related to image content. …”
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Statistical Learning for Semantic Parsing: A Survey by Qile Zhu, Xiyao Ma, Xiaolin Li

“…A long-term goal of Artificial Intelligence (AI) is to provide machines with the capability of understanding natural language. Understanding natural language may be referred as the system must produce a correct response to the received input order. …”
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Transforming Presence: Seeing God’s body in Books I and II of Psalms by C. Brown Jones

“…Next, the article discusses the ways in which anthropomorphism may inform the reading of such language. Understanding the body and body language necessitates an understanding of the culture that produced the language. …”
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Analyzing the impact of deep learning algorithms and fuzzy logic approach for remote English translation by Xiuying Han

“…Abstract A remote English translation is used for assisting with on-demand support for adaptable sentence conversion and language understanding. The problem with on-demand translations is the precision verification of the words used. …”
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Sentiment analysis of Algerian Arabic dialect on social media Using Bi-LSTM recurrent neural networks by Abdelghani BOUZIANE, Benamar BOUOUGADA, Djelloul BOUCHIHA, Noureddine DOUMI

“…The method leverages word-to-vector embedding for word representation and incorporates natural language understanding of emojis to improve semantic interpretation. …”
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A comprehensive review of large language models: issues and solutions in learning environments by Tariq Shahzad, Tehseen Mazhar, Muhammad Usman Tariq, Wasim Ahmad, Khmaies Ouahada, Habib Hamam

“…Despite opposition and explicit bans by some authorities, LLMs continue to play a transformative role, particularly in education, by improving language understanding and generation capabilities. This study explores LLMs’ types, history, and training processes, alongside their application in education, including digital and higher education settings. …”
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Evaluation Of Anxiety In Patients Undergoing Complete Denture Treatment At Two Tertiary Care Hospitals In Rawalpindi And Islamabad by Muhammad Amir Ghafoor Chaudhary, Misbah Khalid, Romeysah Adnan, Saba Uzair, Raza Ullah Khan, Muhammad Farooq Kamran

“…Patients overwhelmingly appreciated having the entire procedure described beforehand (99.2%) and considered language understanding by the doctor as crucial for good treatment (97.8%). …”
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Emei Martial Arts Promotion Model and Properties Based on Neural Network Technology by Cheng Xing, N.E. Zainal Abidin, Yudong Tang

“…In recent years, neural networks have made great progress in various fields, such as speech recognition, computer vision, and natural language understanding. On this basis, the combination of neural networks and traditional recommendation methods is helpful for the better development of Emei Martial Arts promotion. …”
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Extracting Implicit User Preferences in Conversational Recommender Systems Using Large Language Models by Woo-Seok Kim, Seongho Lim, Gun-Woo Kim, Sang-Min Choi

“…Although large language models (LLMs) have shown potential in recommendation systems owing to their superior language understanding and reasoning capabilities, extracting and utilizing implicit user preferences from conversations remains a formidable challenge. …”
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Brain-model neural similarity reveals abstractive summarization performance by Zhejun Zhang, Shaoting Guo, Wenqing Zhou, Yingying Luo, Yingqi Zhu, Lin Zhang, Lei Li

“…Abstract Deep language models (DLMs) have exhibited remarkable language understanding and generation capabilities, prompting researchers to explore the similarities between their internal mechanisms and human language cognitive processing. …”
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Larger models yield better results? Streamlined severity classification of ADHD-related concerns using BERT-based knowledge distillation. by Ahmed Akib Jawad Karim, Kazi Hafiz Md Asad, Md Golam Rabiul Alam

“…On the General Language Understanding Evaluation (GLUE) benchmark, comprising paraphrase identification, sentiment analysis, and text classification, the student model maintained strong performance across many tasks despite this reduction. …”
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An empirical study of LLaMA3 quantization: from LLMs to MLLMs by Wei Huang, Xingyu Zheng, Xudong Ma, Haotong Qin, Chengtao Lv, Hong Chen, Jie Luo, Xiaojuan Qi, Xianglong Liu, Michele Magno

“…Abstract The LLaMA family, a collection of foundation language models ranging from 7B to 65B parameters, has become one of the most powerful open-source large language models (LLMs) and the popular LLM backbone of multi-modal large language models (MLLMs), widely used in computer vision and natural language understanding tasks. In particular, LLaMA3 models have recently been released and have achieved impressive performance in various domains with super-large scale pre-training on over 15T tokens of data. …”
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Analysis of argument structure constructions in the large language model BERT by Pegah Ramezani, Pegah Ramezani, Achim Schilling, Achim Schilling, Patrick Krauss, Patrick Krauss

“…This research demonstrates the potential of both recurrent and transformer-based neural language models to mirror linguistic processing in the human brain, offering valuable insights into the computational and neural mechanisms underlying language understanding.…”
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A Critique on the Book Fusus al-Hakam and The School of Ibn Arabi by Parisa Goudarzi, Zahra Jebraeilzade

“…In the present book, Afifi has tried to explain in a language understandable regarding the mystical and philosophical issues of Fusus and to solve some linguistic and intellectual difficulties of Ibn Arabi for the western readers who are less familiar with the issues of unity. …”
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The Role of Morphological Information in Processing Pseudo-words in Italian L2 Learners: It’s a Matter of Experience by Simona Amenta, Francesca Foppolo, Linda Badan

“…The productive use of morphological information is considered one of the possible ways in which speakers of a language understand and learn unknown words. In the present study we investigate if, and how, also adult L2 learners exploit morphological information to process unknown words by analyzing the impact of language proficiency in the processing of novel derivations. …”
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