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Found 6 papers, 1 papers with code
Utilizing ChatGPT to Enhance Clinical Trial Enrollment
Clinical trials are a critical component of evaluating the effectiveness of new medical interventions and driving advancements in medical research.
DUTH at SemEval-2020 Task 11: BERT with Entity Mapping for Propaganda Classification
This report describes the methods employed by the Democritus University of Thrace (DUTH) team for participating in SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles.
DUTH at SemEval-2019 Task 8: Part-Of-Speech Features for Question Classification
This report describes the methods employed by the Democritus University of Thrace (DUTH) team for participating in SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums.
DUTH at SemEval-2018 Task 2: Emoji Prediction in Tweets
This paper describes the approach that was developed for SemEval 2018 Task 2 (Multilingual Emoji Prediction) by the DUTH Team.
DUTH at SemEval-2017 Task 4: A Voting Classification Approach for Twitter Sentiment Analysis
This report describes our participation to SemEval-2017 Task 4: Sentiment Analysis in Twitter, specifically in subtasks A, B, and C. The approach for text sentiment classification is based on a Majority Vote scheme and combined supervised machine learning methods with classical linguistic resources, including bag-of-words and sentiment lexicon features.
DUTH at SemEval-2017 Task 5: Sentiment Predictability in Financial Microblogging and News Articles
We present the system developed by the team DUTH for the participation in Semeval-2017 task 5 - Fine-Grained Sentiment Analysis on Financial Microblogs and News, in subtasks A and B.
