HLE-UPC at SemEval-2021 Task 5: Toxic Spans Detection
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Updated
Nov 26, 2021 - Python
HLE-UPC at SemEval-2021 Task 5: Toxic Spans Detection
A sentiment analysing web application for customer reviews. Positive, Negative and Neutral opinions are highlighted.
I will perform a text classification tast using various Transformer like BERT, DistilBERT, ElLECTRA models, mostly from Huggingface community
Thesis Project
A python program that classifies medical transcripts based on their medical specialty.
1. Fine-tune DistilBERT on NLI and dentify the some salient or toxic features that the model learnt. 2. Sample annotations techniques and production of silver label using (EDA and Back Translation).
🤗 Dockerized BERT-Multi-Label-Classifier Inferer 🤗
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Using State of Art transformers for text classification and deep CNNs for Image Classification
Applying zero-shot learning on classification task.
Advanced RAG pipeline using Re-Ranking after initial retrieval
A study on encoding english sentences to tensorflow vectors or tensors using pre-trained BERT model from the Hugging Face Library.
Deep learning for Natural Language Processing
Q&A System using BERT and Faiss Vector Database
Transformers
Sentiment Analysis On Stanford Dataset using State-of-the-Art models (Contextualized Embedding)
Text completion with Hugging Face and TensorFlow.js running on Node.js
Multi-modal retrieval with a smooth weighting of negatives
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