End-to-end transformer-based models in textual-based NLP
Transformer architectures are highly expressive because they use self-attention
mechanisms to encode long-range dependencies in the input sequences. In this paper, we …
mechanisms to encode long-range dependencies in the input sequences. In this paper, we …
Deep transformer language models for Arabic text summarization: a comparison study
Large text documents are sometimes challenging to understand and time-consuming to
extract vital information from. These issues are addressed by automatic text summarizing …
extract vital information from. These issues are addressed by automatic text summarizing …
Do you ever get off track in a conversation? the conversational system's anatomy and evaluation metrics
Conversational systems are now applicable to almost every business domain. Evaluation is
an important step in the creation of dialog systems so that they may be readily tested and …
an important step in the creation of dialog systems so that they may be readily tested and …
Characterisation of COVID-19-related tweets in the Croatian language: framework based on the Cro-CoV-cseBERT model
This study aims to provide insights into the COVID-19-related communication on Twitter in
the Republic of Croatia. For that purpose, we developed an NL-based framework that …
the Republic of Croatia. For that purpose, we developed an NL-based framework that …
Ai-generated text detector for arabic language using encoder-based transformer architecture
The effectiveness of existing AI detectors is notably hampered when processing Arabic texts.
This study introduces a novel AI text classifier designed specifically for Arabic, tackling the …
This study introduces a novel AI text classifier designed specifically for Arabic, tackling the …
Towards transfer learning techniques—bert, distilbert, bertimbau, and distilbertimbau for automatic text classification from different languages: A case study
R Silva Barbon, AT Akabane - Sensors, 2022 - mdpi.com
The Internet of Things is a paradigm that interconnects several smart devices through the
internet to provide ubiquitous services to users. This paradigm and Web 2.0 platforms …
internet to provide ubiquitous services to users. This paradigm and Web 2.0 platforms …
[HTML][HTML] From Fact Drafts to Operational Systems: Semantic Search in Legal Decisions Using Fact Drafts
GM Csányi, D Lakatos, I Üveges, A Megyeri… - Big Data and Cognitive …, 2024 - mdpi.com
This research paper presents findings from an investigation in the semantic similarity search
task within the legal domain, using a corpus of 1172 Hungarian court decisions. The study …
task within the legal domain, using a corpus of 1172 Hungarian court decisions. The study …
[HTML][HTML] Accelerating and Compressing Transformer-Based PLMs for Enhanced Comprehension of Computer Terminology
J Peng, K Zhong - Future Internet, 2024 - mdpi.com
Pretrained language models (PLMs) have significantly advanced natural language
processing (NLP), establishing the" pretraining+ fine-tuning" paradigm as a cornerstone …
processing (NLP), establishing the" pretraining+ fine-tuning" paradigm as a cornerstone …
[HTML][HTML] Toward Robust Arabic AI-Generated Text Detection: Tackling Diacritics Challenges
Current AI detection systems often struggle to distinguish between Arabic human-written text
(HWT) and AI-generated text (AIGT) due to the small marks present above and below the …
(HWT) and AI-generated text (AIGT) due to the small marks present above and below the …
[HTML][HTML] Assessing Fine-Tuned NER Models with Limited Data in French: Automating Detection of New Technologies, Technological Domains, and Startup Names in …
Achieving carbon neutrality by 2050 requires unprecedented technological, economic, and
sociological changes. With time as a scarce resource, it is crucial to base decisions on …
sociological changes. With time as a scarce resource, it is crucial to base decisions on …