ClaudeCoulombe / TextDataAugmentationLinks
Code related to experimentation of different Text Data Augmentation Techniques
☆14Updated 6 years ago
Alternatives and similar repositories for TextDataAugmentation
Users that are interested in TextDataAugmentation are comparing it to the libraries listed below
Sorting:
- This shows how to fine-tune Bert language model and use PyTorch-transformers for text classififcation☆71Updated 5 years ago
- Multi Label text classification using bert☆156Updated 6 years ago
- Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.☆168Updated 6 years ago
- PyTorch implementation/experiments on Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond paper.☆153Updated 3 years ago
- BERT Question and Answer system meant and works well for only limited number of words summary like 1 to 2 paragraphs only. It can’t be ab…☆114Updated 4 years ago
- architectures and pre-trained models for long document classification.☆154Updated 5 years ago
- Text Classification using transformer based models☆24Updated 5 years ago
- Accompanying code for the Medium article☆164Updated 6 years ago
- Exploring the simple sentence similarity measurements using word embeddings☆99Updated last year
- Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classif…☆312Updated 5 years ago
- Keyphrase Extraction based on Scientific Text, Semeval 2017, Task 10☆109Updated 3 years ago
- Code Implementation of TDS Article "Semi-supervised Intent Classification with GAN-BERT"☆14Updated 5 years ago
- CNN-based model to realize aspect extraction of restaurant reviews based on pre-trained word embeddings and part-of-speech tagging☆103Updated 6 years ago
- ☆37Updated 5 years ago
- Paraphrase any question with T5 (Text-To-Text Transfer Transformer) - Pretrained model and training script provided☆186Updated 2 years ago
- BERT which stands for Bidirectional Encoder Representations from Transformations is the SOTA in Transfer Learning in NLP.☆56Updated 5 years ago
- ☆121Updated 3 years ago
- This repository contains various ways to calculate sentence vector similarity using NLP models☆198Updated 5 years ago
- Using BERT For Classifying Documents with Long Texts, check my latest post: https://armandolivares.tech/☆41Updated 6 years ago
- Keras implementation of "Few-shot Learning for Named Entity Recognition in Medical Text"☆180Updated 6 years ago
- Tensorflow implementation of an abstractive summarization model using pre-trained language models☆42Updated last year
- celarex / STS-CNN-STSbenchmark-Semantic-Similarity-Semantic-Textual-Similarity-CNN-HCTI-Tensorflow-KerasA simple implementation of paper "HCTI at SemEval-2017 Task 1: Use convolutional neural network to evaluate semantic textual similarity."☆31Updated 3 years ago
- WNUT-2020 Task 2: Identification of informative COVID-19 English Tweets☆30Updated last year
- To build multilingual models with English-only training data to find the toxicity among Mutilingual Comments☆10Updated 5 years ago
- Lecture summarization with BERT☆153Updated 3 years ago
- Code associated with the "Data Augmentation using Pre-trained Transformer Models" paper☆135Updated 2 years ago
- Hierarchical Attention Networks for Document Classification in Keras☆78Updated 7 years ago
- Do NLP tasks with some SOTA methods☆92Updated 5 years ago
- Aspect Based Sentiment Analysis is a special type of sentiment analysis. In an explicit aspect, opinion is expressed on a target(opinion …☆73Updated 5 years ago
- Enriching BERT with Knowledge Graph Embedding for Document Classification (PyTorch)☆160Updated 6 years ago