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Found 9 papers, 5 papers with code
Where It Really Matters: Few-Shot Environmental Conservation Media Monitoring for Low-Resource Languages
Environmental conservation organizations routinely monitor news content on conservation in protected areas to maintain situational awareness of developments that can have an environmental impact.
NewsPanda: Media Monitoring for Timely Conservation Action
We introduce NewsPanda, a toolkit which automatically detects and analyzes online articles related to environmental conservation and infrastructure construction.
Hashtag-Guided Low-Resource Tweet Classification
Social media classification tasks (e. g., tweet sentiment analysis, tweet stance detection) are challenging because social media posts are typically short, informal, and ambiguous.
Exploring Euphemism Detection in Few-Shot and Zero-Shot Settings
This work builds upon the Euphemism Detection Shared Task proposed in the EMNLP 2022 FigLang Workshop, and extends it to few-shot and zero-shot settings.
EUREKA: EUphemism Recognition Enhanced through Knn-based methods and Augmentation
We introduce EUREKA, an ensemble-based approach for performing automatic euphemism detection.
PINEAPPLE: Personifying INanimate Entities by Acquiring Parallel Personification data for Learning Enhanced generation
To this end, we propose PINEAPPLE: Personifying INanimate Entities by Acquiring Parallel Personification data for Learning Enhanced generation.
PANCETTA: Phoneme Aware Neural Completion to Elicit Tongue Twisters Automatically
Through automatic and human evaluation, as well as qualitative analysis, we show that PANCETTA generates novel, phonetically difficult, fluent, and semantically meaningful tongue twisters.
Semi-Supervised Noisy Student Pre-training on EfficientNet Architectures for Plant Pathology Classification
We explore the use of standard benchmark models such as VGG16, ResNet101, and DenseNet 161 to achieve a 0. 945 score on the task.
Myers-Briggs Personality Classification and Personality-Specific Language Generation Using Pre-trained Language Models
The Myers-Briggs Type Indicator (MBTI) is a popular personality metric that uses four dichotomies as indicators of personality traits.
