Introduction of artificial Intelligence

Y Wang, EY Fu, X Zhai, C Yang, F Pei - Intelligent Building Fire Safety and …, 2024 - Springer
Artificial intelligence (AI) is referred to as the intelligence developed by machines with
mathematical modeling. In particular, AI is manifested by machine's ability to effectively …

Exploring the effectiveness of word embedding based deep learning model for improving email classification

DS Asudani, NK Nagwani, P Singh - Data Technologies and …, 2022 - emerald.com
Purpose Classifying emails as ham or spam based on their content is essential. Determining
the semantic and syntactic meaning of words and putting them in a high-dimensional feature …

A tag-based transformer community question answering learning-to-rank model in the home improvement domain

M Maia, S Handschuh, M Endres - International Conference on Database …, 2021 - Springer
Abstract Community Question Answering (CQA) is an Information Retrieval (IR) task that
allows matching complex subjective questions and candidate answers based on user posts …

Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs

S Tytarenko, MR Amin - arXiv preprint arXiv:2401.16638, 2024 - arxiv.org
Fine-tuning large pre-trained language models (LLMs) on particular datasets is a commonly
employed strategy in Natural Language Processing (NLP) classification tasks. However, this …

Investigating Questioner's Explicit Information Influences in Transformer-based Community Question Answering

M Maia, M Endres - 2024 IEEE 18th International Conference …, 2024 - ieeexplore.ieee.org
Web Q&A forums provide a collaborative environment where users can post subjective
questions and answers based on their life experiences or knowledge of some specific …

Learning local and global features for optimized multi-label text classification

M Rafi, F Abid - 2022 International Arab Conference on …, 2022 - ieeexplore.ieee.org
In multi-label text classification, the central aim is to associate an array of descriptive labels
for a better understanding of the text. There are three main challenges in doing multi-label …

[PDF][PDF] Multilabel-Thai Text Classification with Transformer-Rnn in Thai Banking Classification.

S Plubin, W Bunyatisai, M Khamkong… - Pakistan Journal of Life …, 2025 - pjlss.edu.pk
This research presents a novel approach to multilabel Thai text classification within the
banking sector using a hybrid Transformer-RNN model. The study focuses on enhancing the …

Exodus Bi-Directional LSTM Based Multivariate Texmoji Classification

SN Raman, NS Muruganandam… - … on Cloud Computing …, 2023 - ieeexplore.ieee.org
Stories that contain text and emojis manifests humans' emotions in a very broad way. Emojis
mixed with regular words on many social media sites has changed how we talk. It lets …

Oportunidades de inversión para el pequeño inversor español en el albor de la inteligencia artificial

P Lozano Álvarez - 2023 - uvadoc.uva.es
La Inteligencia Artificial (IA) puede ayudar a pequeños inversores en la tarea de canalizar el
ahorro y optimizar la relación riesgo-rentabilidad. En este trabajo se analizan los principios …

[PDF][PDF] A COMPARATIVE STUDY USING DIFFERENT QUESTION CONTEXT INFORMATION ON PAIRWISE LEARNING-TO-RANK CQA TRANSFORMER MODELS IN …

M Maia, M Endres - Journal of Data Intelligence, 2021 - rintonpress.com
To find answers for subjective questions about many topics through Q&A forums,
questioners and answerers can cooperatively help themselves by sharing their doubts or …