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Feature Fusion Pyramid Network for End-to-End Scene Text Detection
How to properly involve text characteristics like multi-scale, arbitrary direction, length aspect ratio, into detection network design has become a hot topic in computer vision. Feature Pyramid Network (FPN) is a typical method to achieve robust text ...
Exploring the Correlation between Emojis and Mood Expression in Thai Twitter Discourse
Mood, a long-lasting affective state detached from specific stimuli, plays an important role in behavior. Although sentiment analysis and emotion classification have garnered attention, research on mood classification remains in its early stages. This ...
Can Rhyme Consistency Score be used as a Feature in Stylistics? A Statistical Endeavour with Hindi Poetry
Stylistics is the study and analysis of linguistic style using the tools of language. It is an investigation of language elements employed in a spoken or written piece under examination. Rhyme is one such element that can help to inspect style in an ...
Deep Neural Network with a Characteristic Analysis for Seal Stroke Recognition
Seal characters are derived from ancient Chinese pictographs, naturally inheriting pictographic characteristics and complex structures. As the essential components of seal characters, seal strokes play a vital role in seal character recognition, ...
Improved Tibetan Word Vectors Models Based on Position Information Fusion
Tibetan language processing is crucial for preserving its rich cultural heritage and reducing communication barriers between different languages. However, as a low-resource language, the development of Tibetan natural language processing has lagged ...
Enhancing Lyrics Rewriting with Weak Supervision from Grammatical Error Correction Pre-training and Reference Knowledge Fusion
Lyric rewriting involves taking the original lyrics of a song and creatively rephrasing them while preserving their core meaning and emotional essence. Sequence-to-sequence methods often face the problem of lack of annotated corpus and difficulty in ...
Abusive and Hate speech Classification in Arabic Text Using Pre-trained Language Models and Data Augmentation
Hateful content on social media is a worldwide problem that adversely affects not just the targeted individuals but also anyone whose content is accessible. The majority of studies that looked at the automatic identification of inappropriate content ...
MMHFND: Fusing Modalities for Multimodal Multiclass Hindi Fake News Detection via Contrastive Learning
Multimodal content contains more deception than unimodal information, causing significant social and economic impacts. Current techniques often focus on a single modality, neglecting knowledge fusion. While most studies have concentrated on English fake ...
Learning and Vision-based approach for Human fall detection and classification in naturally occurring scenes using video data
The advancement of medicine presents challenges for modern cultures, especially with unpredictable elderly falling incidents anywhere due to serious health issues. Delayed rescue for at-risk elders can be dangerous. Traditional elder safety methods like ...
An Unsupervised Domain-Adaptive Framework for Chinese Spelling Checking
Chinese Spelling Check (CSC) is a meaningful task in the area of natural language processing, which aims at detecting spelling errors in Chinese texts and then correcting these errors. Current typical CSC models have shown impressive performance in ...
Stacked Classification Approach using Optimized Hybrid Deep Learning Model for Early Prediction of Behaviour Changes on Social Media
Detecting signs of suicidal thoughts on social media is paramount for preventing suicides, given the platforms' role as primary outlets for emotional expression. Traditional embedding techniques focus solely on semantic analysis and lack the sentiment ...
Social-sum-Mal: A Dataset for Abstractive Text Summarization in Malayalam
Abstractive text summarization techniques for Malayalam language is still in its infancy. The lack of benchmarked datasets for this task is one of the constraints in developing and testing good models. Malayalam has seven nominal case forms, two nominal ...
