Latest Articles for Data Annotation

A new method for classifying sonar images using fewer labels.

New dataset and methods enhance NER for Bavarian dialect recognition.

A method for creating coherent text from multiple document highlights.

Learn how X-AMR transforms event coreference resolution with graphical representation.

Study shows weak labels enhance gloss prediction accuracy while reducing manual effort.

A new method improves action recognition in unedited videos using few examples.

A method for improving melody extraction across different music styles with minimal human effort.

A unique corpus enhances named entity recognition across six Slavic languages.

Introducing a model to improve safety in language generation and reduce risks.

This work focuses on identifying important scenes to enhance movie script summaries.

SportsHHI focuses on human interactions in basketball and volleyball videos for improved analysis.

A new framework for safer interactions with large language models.

SPAM offers a smarter way to label video data efficiently.

A new approach enhances segmentation in medical images without detailed labels.

New methods improve object tracking and annotation efficiency in video processing.

A new method uses questions to identify event roles in documents.

Transforming an MCQA dataset for extractive questions in multiple languages.

A new method enhances image descriptions for training AI models.

An overview of issues and methods in cerebrovascular segmentation for medical imaging.

This framework enhances object tracking accuracy with reduced human input.

ADSumm provides crucial summaries for better disaster response.

This article discusses salutary labeling, a method to reduce human input in machine learning.

A new method uses extreme points for effective instance segmentation with minimal annotation.

This study explores advanced methods for efficient data labeling using neural network techniques.

This study explores how to create sentences that maintain specific meanings using FrameNet.

A study introduces a new benchmark for prompt performance in creating and retrieving images.

AGB-DE helps assess the validity of clauses in German consumer contracts.

SRFUND offers detailed annotations for better document processing across multiple languages.

Assessing LLMs' role in improving structured representation of scientific papers.

MMScan enhances AI’s ability to comprehend complex 3D environments with extensive annotations.

ANNEAL method reduces labeling costs while enhancing image retrieval performance.

WeCLIP improves weakly supervised segmentation using CLIP with minimal labeling effort.

This study examines biases in AI models during hate speech data labeling.

A new dataset to improve machine interpretation of remote sensing images.

A new network improves 3D object detection using weak labels.

This paper showcases a method for using LLMs to annotate tabular data with minimal human effort.

This study examines LLMs as a cost-effective alternative for text classification.

SAVE model enhances audio-visual segmentation with efficiency and precision.

Discover how AI is transforming image annotation for better accuracy and speed.

A new method reduces the need for labeled data in computer vision tasks.