Intelligent question answering method for construction safety hazard knowledge based on deep semantic mining

D Tian, M Li, Q Ren, X Zhang, S Han, Y Shen - Automation in construction, 2023 - Elsevier
Timely safety hazard management can reduce the probability of safety accidents at
construction sites. However, the formulation of safety hazard management measures is a …

Develop corpora and methods for cross-lingual text reuse detection for English Urdu language pair at lexical, syntactical, and phrasal levels

I Muneer, RMA Nawab - Language Resources and Evaluation, 2022 - Springer
Abstract In recent years, Cross-Lingual Text Reuse Detection (CLTRD) has attracted the
attention of the research community because large digital repositories and efficient Machine …

[HTML][HTML] The HoPE model architecture: A novel approach to pregnancy information retrieval based on conversational agents

JLZ Montenegro, CA Da Costa - Journal of Healthcare Informatics …, 2022 - Springer
Conversational agents are used to communicating with humans in a friendly manner. To
achieve the highest level of performance, agents need to respond assertively and fastly …

Brcars: a dataset for fine-grained classification of car images

DM Kuhn, VP Moreira - 2021 34th SIBGRAPI Conference on …, 2021 - ieeexplore.ieee.org
Fine-grained computer vision tasks refer to the ability of distinguishing objects that belong to
the same parent class, differentiating themselves by subtle visual elements. Image …

AI-powered Resume-Job matching: A document ranking approach using deep neural networks

S Rezaeipourfarsangi, EE Milios - … of the ACM Symposium on Document …, 2023 - dl.acm.org
This study focuses on the importance of well-designed online matching systems for job
seekers and employers. We treat resumes and job descriptions as documents. Then …

[PDF][PDF] Incorporating Multiple Feature Groups to a Siamese Neural Network for Semantic Textual Similarity Task in Portuguese Texts.

JVA de Souza, LES e Oliveira, YB Gumiel… - ASSIN@ STIL, 2019 - ceur-ws.org
The Semantic Textual Similarity (STS) algorithms have a key role in Natural Language
Processing (NLP) studies since it can support various NLP tasks such as Text …

[PDF][PDF] Similarity Approximation of Twitter Profiles

N Shoeibi, N Shoeibi, P Chamoso… - Journal Not …, 2021 - researchgate.net
Social media platforms have been entirely an undeniable part of the lifestyle for the past
decade. Analyzing the information being shared is a crucial step to understanding human …

[PDF][PDF] Deep siamese neural network vs random forest for myanmar language paraphrase classification

MM Htay, YK Thu, HA Thant, T Supnithi - Journal of Intelligent …, 2022 - jiist.aiat.or.th
Generally, paraphrase detection or semantic similarity of necessity is to understand the
sentence as a whole sentence, but not just finding synonyms of the words. It is an important …

Deep Language Models for Text Representation in Document Clustering and Ranking

S Rezaeipourfarsangi - 2023 - dalspace.library.dal.ca
Deep language models have become increasingly prominent in the field of machine
learning. This thesis explores the potential of deep language models for text representation …

UNIOR NLP at MWSA task-GlobaLex 2020: Siamese LSTM with attention for word sense alignment

R Manna, G Speranza, MP Di Buono… - Proceedings of the LREC …, 2020 - unora.unior.it
In this paper we describe the system submitted to the ELEXIS Monolingual Word Sense
Alignment Task. We test different systems, which are two types of LSTMs and a system …