TECHSSN at SemEval-2021 Task 7: Humor and Offense detection and classification using ColBERT embeddings

Autor:	Aviansh Gupta, Ayush Nanda, Mirnalinee Tt, Rajalakshmi Sivanaiah, Angel Deborah S, Abrit Pal Singh, S Milton Rajendram
Rok vydání:	2021
Předmět:	Binary classification Computer science business.industry Preprocessor Artificial intelligence business computer.software_genre Encoder computer Natural language processing SemEval Transformer (machine learning model) Task (project management)
Zdroj:	SemEval@ACL/IJCNLP
DOI:	10.18653/v1/2021.semeval-1.167
Popis:	This paper describes the system used for detecting humor in text. The system developed by the team TECHSSN uses binary classification techniques to classify the text. The data undergoes preprocessing and is given to ColBERT (Contextualized Late Interaction over BERT), a modification of Bidirectional Encoder Representations from Transformers (BERT). The model is re-trained and the weights are learned for the dataset. This system was developed for the task 7 of the competition, SemEval 2021.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a9f162857dbb708a198d56621c0ca3a9 https://doi.org/10.18653/v1/2021.semeval-1.167 Zobrazit plný text záznamu