Intelligent question answering method for construction safety hazard knowledge based on deep semantic mining
Timely safety hazard management can reduce the probability of safety accidents at
construction sites. However, the formulation of safety hazard management measures is a …
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
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 …
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 …
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 …
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 …
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.
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 …
Processing (NLP) studies since it can support various NLP tasks such as Text …
[PDF][PDF] Similarity Approximation of Twitter Profiles
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 …
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 …
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 …
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
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 …
Alignment Task. We test different systems, which are two types of LSTMs and a system …