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Question Classification for the dataset CogComp QC Dataset - [ http://cogcomp.org/Data/QA/QC/ ].
nlp machine-learning experimental neural-network python3 pytorch spacy text-data question-classification
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.
multilingual sentiment-analysis english italian sentence-classification albert bert question-classification roberta xlm-roberta
Classifying questions from UIUC's CogComp QC Dataset
machine-learning natural-language-processing classification natural-language-understanding question-classification classifying-questions
Multi-label biomedical question classification corpus
MeetingOWL is a ML based system which can generate smart reports for online meetings based on the audio file.
machine-learning svm naive-bayes-classifier tf-idf speech-to-text cosine-similarity question-classification google-speech-api
Question Classification with Untrained Recurrent Embeddings
Assignments from the course "Topics in Natural Language Processing, Fall 2018"
Natural Language Processing - Java Example
java nlp classifier natural-language-processing spark apache-spark stanford-corenlp pos-tagging pos-tagger question-classifier question-classification ner-tags ner-tagging affirmation
XAI that uses Layerwise Relevance Propagation, over linguistically motivated neural architectures, namely Kernel-based Deep Architectures (KDA), to guide argumentations and explanation inferences.
A collaborative project on text mining undertaken as part of the post-graduate program.
module system for question classification and answer enhancement using the Phi model, with Arabic & English support and an interactive Streamlit UI.
nlp natural-language-processing deep-learning text-classification bert arabic-nlp phi question-classification streamlit huggingface-transformers
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.
natural-language-processing text-classification tensorflow lstm question-classification insincere-questions
PyTorch implementations of RNN, GRU, LSTM, and BERT-based models for NLP question classification. Includes a from-scratch RNN forward pass, configurable BaseRNN with pooling strategies, and fine-tuned BERT (bert-base-uncased) for 6-class sequence classification using HuggingFace Transformers.
A classifier to predict the type of answer a question expects.
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.
nlp machine-learning natural-language-processing deep-learning text-classification quora text-processing question-classification text-preprocessing quora-insincere-question
"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.
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