Latest Articles for Annotation

A new approach to enhance the accuracy of online crowdsourced annotations.

New methods improve how machines recognize speech rhythm and emotion.

New dataset improves verification of reasoning steps in AI models.

Study highlights significance of reference genome choice in gene expression analysis.

FindingEmo offers insights into recognizing emotions through social scenes.

A new method improves annotation accuracy in target recognition using advanced techniques.

Examining methods to enhance ChatGPT's classification of implicit discourse relations.

Exploring the critical role of data annotation in AI development and its challenges.

New dataset improves the diagnosis of diabetic retinopathy through detailed annotations.

A dataset to assess struggles in assembly tasks using video annotations.

AFaCTA aids fact-checkers in identifying true and false claims efficiently.

This article discusses explainability and fairness in legal judgment prediction models.

New dataset DANSK enhances Danish NER performance across various texts.

LAST-Straw dataset enhances automated phenotyping in strawberry farming.

SyllabusQA offers insights for automated question answering in education.

Leveraging language models to streamline information extraction in virology.

This article examines how text affects map understanding and communication.

Using chatbots to improve AI research classification and understanding.

Researchers are using synthetic data to improve human pose estimation.

New dataset and methods enhance NER for Bavarian dialect recognition.

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

A new layer of annotation aims to improve language analysis in UD treebanks.

COCO-ReM enhances object detection by refining COCO's original dataset annotations.

Improving accuracy in NVDRS data is vital for effective suicide prevention.

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

Learn how LLMs can help make C programming safer and more efficient.

COCONut offers improved quality and accuracy in image segmentation datasets.

A comprehensive look at the role and effectiveness of trigger warnings.

SPAM offers a smarter way to label video data efficiently.

New framework enhances protein models using rich annotations for accurate predictions.

Creating resources for DocRE in Japanese through innovative dataset development.

Transforming an MCQA dataset for extractive questions in multiple languages.

A study on labeling patient comments to enhance healthcare services.

Introducing LVOS: a dataset for tracking objects in long videos.

A new method enhances image descriptions for training AI models.

This method classifies text claims efficiently with minimal data.

Improving dictionary accuracy for epilepsy terms used on social media.

A new approach aligns language models with video content using textual simulations.

This study evaluates bias measurement methods using GPT-3.5-Turbo for antisemitism detection.

Improving text generation quality by selecting cleaner examples.