most citedSarcasm Detection in a Disaster Context

3 citations · 11 across the 16 of their papers we have counts for

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cs.CL2025

Zero-Shot Verification-guided Chain of Thoughts

Jishnu Ray Chowdhury, Cornelia Caragea

Previous works have demonstrated the effectiveness of Chain-of-Thought (COT) prompts and verifiers in guiding Large Language Models (LLMs) through the space of reasoning. However,…

cs.CL2024

SciER: An Entity and Relation Extraction Dataset for Datasets, Methods, and Tasks in Scientific Documents

Qi Zhang, Zhijia Chen, Huitong Pan +3

Scientific information extraction (SciIE) is critical for converting unstructured knowledge from scholarly articles into structured data (entities and relations). Several datasets…

cs.CL2024

Co-training for Low Resource Scientific Natural Language Inference

Mobashir Sadat, Cornelia Caragea

Scientific Natural Language Inference (NLI) is the task of predicting the semantic relation between a pair of sentences extracted from research articles. The automatic annotation m…

cs.CL2024

MSciNLI: A Diverse Benchmark for Scientific Natural Language Inference

Mobashir Sadat, Cornelia Caragea

The task of scientific Natural Language Inference (NLI) involves predicting the semantic relation between two sentences extracted from research articles. This task was recently pro…

cs.CL20231 cited

CrisisMatch: Semi-Supervised Few-Shot Learning for Fine-Grained Disaster Tweet Classification

Henry Peng Zou, Yue Zhou, Cornelia Caragea +1

The shared real-time information about natural disasters on social media platforms like Twitter and Facebook plays a critical role in informing volunteers, emergency managers, and…

cs.CL20231 cited

JointMatch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text Classification

Henry Peng Zou, Cornelia Caragea

Semi-supervised text classification (SSTC) has gained increasing attention due to its ability to leverage unlabeled data. However, existing approaches based on pseudo-labeling suff…