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A review of fake news detection approaches: A critical analysis of relevant studies and highlighting key challenges associated with the dataset, feature representation …
Currently, social networks have become the main source to acquire news about current
global affairs. However, fake news appears and spreads on social media daily. This …
global affairs. However, fake news appears and spreads on social media daily. This …
Current state of LLM Risks and AI Guardrails
SG Ayyamperumal, L Ge - arxiv preprint arxiv:2406.12934, 2024 - arxiv.org
Large language models (LLMs) have become increasingly sophisticated, leading to
widespread deployment in sensitive applications where safety and reliability are paramount …
widespread deployment in sensitive applications where safety and reliability are paramount …
State of the Art in Intent Detection and Slot Filling for Question Answering System: A Systematic Literature Review.
ASM Zailan, NHI Teo… - International Journal of …, 2023 - search.ebscohost.com
Abstract A Question Answering System (QAS), also known as a chatbot, is a Natural
Language Processing (NLP) application that automatically provides accurate responses to …
Language Processing (NLP) application that automatically provides accurate responses to …
Natural language understanding for navigation of service robots in low-resource domains and languages: Scenarios in spanish and nahuatl
Human–robot interaction is becoming increasingly common to perform useful tasks in
everyday life. From the human–machine communication perspective, achieving effective …
everyday life. From the human–machine communication perspective, achieving effective …
[PDF][PDF] Enhancing GI Cancer Radiation Therapy: Advanced Organ Segmentation with ResECA-U-Net Model
This research introduces a pioneering solution to the challenges posed by gastrointestinal
tract (GI) cancer in radiation therapy, focusing on the imperative task of precise organ …
tract (GI) cancer in radiation therapy, focusing on the imperative task of precise organ …
[HTML][HTML] A system for interviewing and collecting statements based on intent classification and named entity recognition using augmentation
J Shin, E Jo, Y Yoon, J Jung - Applied Sciences, 2023 - mdpi.com
In cases of child sexual abuse, interviewing and obtaining trustworthy statements from
victims and witnesses is essential because their statements are the only evidence. It is …
victims and witnesses is essential because their statements are the only evidence. It is …
[HTML][HTML] Improving user intent detection in urdu web queries with capsule net architectures
Detecting the communicative intent behind user queries is critically required by search
engines to understand a user's search goal and retrieve the desired results. Due to …
engines to understand a user's search goal and retrieve the desired results. Due to …
Intent detection in urdu queries using fine-tuned BERT models
User's intent detection provides essential cues in query understanding and accurate
information retrieval through search engines and task-oriented dialogue systems. Intent …
information retrieval through search engines and task-oriented dialogue systems. Intent …
Selfccl: Curriculum contrastive learning by transferring self-taught knowledge for fine-tuning BERT
BERT, the most popular deep learning language model, has yielded breakthrough results in
various NLP tasks. However, the semantic representation space learned by BERT has the …
various NLP tasks. However, the semantic representation space learned by BERT has the …
Between Enablement and Control–Generative Artificial Intelligence-based Systems Development
M Wu-Gehbauer, C Rosenkranz - 2025 - scholarspace.manoa.hawaii.edu
The proliferation of generative artificial intelligence (GenAI)-based systems with embedded
large language models (LLM) has raised the interest of organizations in leveraging their …
large language models (LLM) has raised the interest of organizations in leveraging their …