Latest Articles for Annotation

ROAST enhances sentiment analysis by focusing on entire reviews.

Improving methods for assessing meaning similarity between sentences in natural language.

A new dataset enhances the study of Raga identification in Indian music.

PredEx offers predictions and explanations for legal judgments in India.

A new dataset aids in spotting subjective content in Arabic news articles.

Exploring how machines detect opinions in social media posts.

OphNet enhances surgical workflow analysis with a rich video dataset.

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

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

New methods enhance the quality of AI-generated annotations in medical imaging.

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

A new benchmark targets compositionality in video understanding and language models.

VideoVista offers a comprehensive evaluation for video question-answering models.

A new dataset improves code search efficiency for developers using natural language queries.

A new dataset enhances story understanding across multiple languages.

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

A method to refine language models by reducing unwanted outputs during training.

A new method improves code generation accuracy using external documents.

DIRAS improves relevance annotation for information retrieval, optimizing performance across various domains.

A dataset created to improve tool segmentation in laparoscopic surgeries.

POPCat speeds up video labeling for computer vision tasks while ensuring accuracy.

MetagWGS simplifies the analysis of complex metagenomic data for researchers.

Evaluating how LLMs create persuasive text across various topics.

A new dataset aims to improve hate speech detection in Indonesia.

This study analyzes how GPT-4 detects quitting intentions among vaping Reddit users.

New algorithm improves detection of neurofibrillary tangles in Alzheimer's disease.

An overview of complexities in labeling legal documents and their implications.

A new method minimizes misleading features in machine learning with less human effort.

A new method that enhances object detection using noisy crowdsourced labels.

A groundbreaking dataset aims to enhance autonomous trucking technology through extensive, high-quality data.

A new framework minimizes human effort while addressing model biases.

SPIN offers detailed subpart annotations to improve image recognition.

A new dataset aims to support automation in construction processes.

A study on multilingual Facebook posts related to the Israeli War on Gaza.

A new automated pipeline streamlines real-time object detection processes.

A new approach improves 3D segmentation using less detailed annotations and language.

New BaMBo dataset enhances bone marrow biopsy analysis for better diagnostics.

This study compares models for predicting emotions in Polish political texts.

A study on machine learning methods for identifying propaganda in text.

A new format simplifies data storage and analysis for high-throughput microscopy.