2021
EMNLP
EMNLP 2021
DreamDrug - A crowdsourced NER dataset for detecting drugs in darknet markets
Abstract
AbstractWe present DreamDrug, a crowdsourced dataset for detecting mentions of drugs in noisy user-generated item listings from darknet markets. Our dataset contains nearly 15,000 manually annotated drug entities in over 3,500 item listings scraped from the darknet market platform “DreamMarket” in 2017. We also train and evaluate baseline models for detecting these entities, using contextual language models fine-tuned in a few-shot setting and on the full dataset, and examine the effect of pretraining on in-domain unannotated corpora.
🌉
Interdisciplinary Bridge
— Deep Learning and Machine Learning and Natural Language Processing
🧭
Keyword Pioneer
— few-shot setting
🐝
Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio
Authors
Topics
Natural Language Processing > Understanding > Named Entity Recognition
Natural Language Processing > Resources & Methods > Large Language Models
Machine Learning > Learning Paradigms > Few-Shot Learning
Machine Learning > Learning Types > Few-Shot Learning
Natural Language Processing > Applications > Named Entity Recognition
Deep Learning > Learning Types > Few-Shot Learning