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Found 7 papers, 1 papers with code
TUG-CIC at SemEval-2021 Task 6: Two-stage Fine-tuning for Intended Sarcasm Detection
We present our systems and findings for the iSarcasmEval: Intended Sarcasm Detection In English and Arabic at SEMEVAL 2022.
Utilizing deep learning models for the identification of enhancers and super-enhancers based on genomic and epigenomic features
This paper provides an extensive examination of a sizable dataset of English tweets focusing on nine widely recognized cryptocurrencies, specifically Cardano, Binance, Bitcoin, Dogecoin, Ethereum, Fantom, Matic, Shiba, and Ripple.
Leveraging the power of transformers for guilt detection in text
In recent years, language models and deep learning techniques have revolutionized natural language processing tasks, including emotion detection.
NLP-CIC @ PRELEARN: Mastering prerequisites relations, from handcrafted features to embeddings
We present our systems and findings for the prerequisite relation learning task (PRELEARN) at EVALITA 2020.
NLP-CIC @ DIACR-Ita: POS and Neighbor Based Distributional Models for Lexical Semantic Change in Diachronic Italian Corpora
The second model uses word embedding representation to extract the neighbor's relative distances across spaces and propose "the average of absolute differences" to estimate lexical semantic change.
NLP-CIC at SemEval-2020 Task 9: Analysing sentiment in code-switching language using a simple deep-learning classifier
We analyze our best model capabilities and perform error analysis to expose important difficulties for classifying sentiment in a code-switching setting.
Complex Word Identification: Convolutional Neural Network vs. Feature Engineering
We describe the systems of NLP-CIC team that participated in the Complex Word Identification (CWI) 2018 shared task.
