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).
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
Sentiment analysis on song lyrics using DistilBERT for NLP
Automatic Detection of Persuasion Techniques using Transformers and Convolutional Neural Networks
Jupyter Notebook illustrates and compares different approaches to sentence similarity scoring.
Classification of German noun compounds based on the semantic relation between their constituents.
A notebook for a medium article about text classification with Hugging Face DistilBert and Tensorflow 2.0
Use Key NLP techniques to classify news articles into categories: Bag_of_Words (tf-Idf), word embeddings and BERT language model
Distilbert trained on goemotions dataset using huggingface
Sentence Classification with BERT
A simple supervised learning solution to classifying candidates according to their professional seniority level (entry, mid, manager, cxo, etc.).
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