Python package that implements the SS3 text classifier with visualizations tools for Explainable Artificial intelligence (XAI).
In recent years, natural language processing (NLP) has seen quick growth in quality and usability, and this has helped to drive business adoption of artificial intelligence (AI) solutions.
Accelerated Text helps you automatically generate natural language descriptions of your data varying in wording and structure.
NER markup visualization for Jupyter Notebook.
The repository contains the code of the recent research advances in Shannon.AI.
Code for the paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".
Resmi ve resmi olmayan yazıları tanıyabilen Türkçe doğal dil işleme projesi
Beat Writer's Block with AI.
Mellotron: a multispeaker voice synthesis model based on Tacotron 2 GST that can make a voice emote and sing without emotive or singing training data.
LIDA: Lightweight Interactive Dialogue Annotator (in EMNLP 2019)
This repo shares models from PolyAI publications, including the ConveRT efficient dual-encoder model.
Originally implemented in tensorflow 1.14 by OapenAi :- "openai/gpt-2". OpenAi GPT-2 Paper:-"Language Models are Unsupervised Multitask Learners"
A PyTorch implementation of Korean NER Tagger based on BERT + CRF (PyTorch v1.2 / Python 3.x)
This repo contains various ways to calculate the similarity between source and target sentences.
A Visual Analysis Toolkit for Text Generation Tasks.
Gecko allows efficient and effective segmentation of the voice signal by speaker as well as annotation of the linguistic content of the conversation.
Python library for knowledge graph embedding and representation learning.
MLQA (MultiLingual Question Answering) is a benchmark dataset for evaluating cross-lingual question answering performance.
Named Entity Recognition on CoNLL dataset using BiLSTM+CRF implemented with Pytorch.
Shameless plugin: We are a data annotation platform to make it super easy for you to build ML datasets. Just upload data, invite your team and build datasets super quick.
Install and Use CTRL on Google Compute Engine
nlp-roadmap is Natural Language Processing ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning Natural Language Processing.
This is an ongoing project that aims to solve a simple but teddies procedure: remove texts from an image.
This repository documents the process of extracting text from a PDF, cleaning it, passing it through an `NLP` pipeline, and presenting the results with graphs.
Score text readability with metrics including: Flesch-Kincaid Grade Level, Gunning Fog, ARI, Dale Chall, SMOG, and more.