Question Classification for the dataset CogComp QC Dataset - [ http://cogcomp.org/Data/QA/QC/ ].

This is a Pytorch (+ Huggingface transformers) implementation of a "simple" text classifier defined using BERT-based models. In this lab we will see how it is simple to use BERT for a sentence classification task, obtaining state-of-the-art results in few lines of python code.

Classifying questions from UIUC's CogComp QC Dataset

Multi-label biomedical question classification corpus

Question Classification with Untrained Recurrent Embeddings

Assignments from the course "Topics in Natural Language Processing, Fall 2018"

Natural Language Processing - Java Example

MeetingOWL is a ML based system which can generate smart reports for online meetings based on the audio file.

In this project we used various Natural language processing techniques along with different Deep learning Models to build a Text Classifier to detect inappropriate questions.

A collaborative project on text mining undertaken as part of the post-graduate program.

This repository contains the code and resources for a project focused on insincere question classification on Quora. The project aims to develop a robust machine learning model capable of identifying and categorizing deceptive or insincere questions. Through this project, we aim to enhance the credibility and user experience of the Quora platform.

XAI that uses Layerwise Relevance Propagation, over linguistically motivated neural architectures, namely Kernel-based Deep Architectures (KDA), to guide argumentations and explanation inferences.

A classifier to predict the type of answer a question expects.

"Is that a duplicate Quora question?" is a Machine Learning Project which helps to Identify which questions asked on Quora are duplicates of questions that have already been asked.