Natural language processing (NLP) is a branch of artificial intelligence that helps computers understand, interpret and manipulate human language.
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Updated
Jul 29, 2023 - Jupyter Notebook
Natural language processing (NLP) is a branch of artificial intelligence that helps computers understand, interpret and manipulate human language.
This repository contains my scripts, results and visualization for my bachelor thesis "Medical concept PROBLEM: Polarity, Modality and Temporal Relations" - ON GOING, doing some code reorganize
This is the official implementation of our paper Robust Hate Speech Detection via Mitigating Spurious Correlations (Tiwari et al., AACL-IJCNLP 2022)
A solution to the nlp-challenge kaggle competition for sentiment analysis using a fine-tuned BERT model.
Applying Natural Language Processing Techniques to classify text from various sources
Training code and public data for the paper "A Legal Approach to Hate Speech - Operationalizing the EU's Legal Framework against the Expression of Hatred as an NLP Task"
Implemantation of a BERT cascade model
BERT model pre-trained for the Nheengatu language
BERT Model 2: Annotation and Fine-Tuning Deep-Learning Model for Passage Boundary Detection
Accessing the Writing skills of a document/author by classifiying the statements and sentences into different classes based on the sequential learning using Pre-trained models from BERT. Rating the document based on the score obtained from the classes for each statement/sentence.
Deep Learning from basic to advance level include Bert for text intent classification
Application interface that use a pre-trained model based on BERT to extract information from aviation accidents texts. Laboratory Assignment II: Trainable Information Extraction. From AIW 2021.
FastAPI application for language detection
This project compares the performance of a Naive Bayes model and fine-tuned BERT models on emotion classification from text.
Completed as part of the "Natural Language Processing" course, this project employs the ArcEager parsing algorithm. Implementation is carried out using PyTorch and the Hugging Face library for utilizing pretrained BERT models.
Pre-training and fine tuning BERT models
Performing Text Extraction also known as Question-Answering using BERT,and serving it Via REST API.
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