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CIC NLP at SMM4H 2022: a BERT-based approach for classification of social media forum posts
This paper describes our submissions for the Social Media Mining for Health (SMM4H) 2022 shared tasks.
Evaluating Embeddings for One-Shot Classification of Doctor-AI Consultations
By analyzing embeddings such as bag-of-words, character n-grams, Word2Vec, GloVe, fastText, and GPT2 embeddings, we examine how well our one-shot classification systems capture semantic information within medical consultations.
MEDs for PETs: Multilingual Euphemism Disambiguation for Potentially Euphemistic Terms
This study investigates the computational processing of euphemisms, a universal linguistic phenomenon, across multiple languages.
FEED PETs: Further Experimentation and Expansion on the Disambiguation of Potentially Euphemistic Terms
Transformers have been shown to work well for the task of English euphemism disambiguation, in which a potentially euphemistic term (PET) is classified as euphemistic or non-euphemistic in a particular context.
Transformer-based approaches to Sentiment Detection
The performance of the four models that were used to detect disaster in the text was compared.
