A recently developed language representation model named Bidirectional Encoder
Representation from Transformers (BERT) is based on an advanced trained deep learning …

Creating 'what-if'scenarios to estimate possible futures is a key component of decision-
making processes. However, this activity is labor intensive as it is primarily done manually …

Event detection aims to detect events from text by locating event triggers and classifying
them into predefined event types. Current state-of-the-art event detection methods benefit …

Tamil is a language that has the most extended history and is a conventional language of
India. It has antique origins and a distinct tradition. A study reveals that at the beginning of …

Introduction: Automatic profiling and genre classification are crucial for text suitability
assessment and as such have been in high demand in education, information retrieval …

In these past few years, there has been a huge growth in the use of microblogging and
social media updating. Prodded by that development, organizations are looking for …

Considering that both ANN and CNN networks are used in image classification, this paper
aimed to evaluate the effectiveness of both types of networks in the binary classification of …

Аннотация Сегодня большая часть исследователей как в области технических наук, так
и представляющих гуманитарное знание, считают необходимым определять …

This paper investigates the impact of Large Language Models (LLMs), specifically GPT, on
data analysis tasks within the framework of CRISP-DM (Cross-Industry Standard Process for …

This thesis aims to explore and gain an understanding of the current AI landscape within
Swedish Cultural Heritage using purposive interviews with five cultural heritage institutions …