Natural language processing (NLP) is a field of computer science that studies how computers and humans interact. In the 1950s, Alan Turing published an article that proposed a measure of intelligence, now called the Turing test. More modern techniques, such as deep learning, have produced results in the fields of language modeling, parsing, and natural-language tasks.
A Super-Lightweight Annotation Tool for Experts: Label text in a terminal with just Python
FactSumm: Factual Consistency Scorer for Abstractive Summarization
AI Summer's complete catalog of articles
Awesome list (courses, books, videos etc.) and implementation of Machine Learning Algorithms
IndoLEM is a comprehensive Indonesian NLU benchmark, comprising three pillars NLP task: morpho-syntax, semantic, and discourse. Presented in COLING 20...
Natural language processing using unsupervised vectors representation.
R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation
Hierarchical Models for Sentiment Analysis in Pytorch
meProp: Sparsified Back Propagation for Accelerated Deep Learning (ICML 2017)
A pythonic wrapper for Stanford CoreNLP.
Clojure wrapper for the Stanford CoreNLP Java library
Source code for "Head-Driven Phrase Structure Grammar Parsing on Penn Treebank" published at ACL 2019
A PureScript, browser-based implementation of LDA topic modeling.
This is a list of open-source projects at Microsoft Research NLP Group
PyTorch implementations of various deep learning models for paraphrase detection, semantic similarity, and textual entailment
Japanese text8 corpus for word embedding.
SimpleDNN is a machine learning lightweight open-source library written in Kotlin designed to support relevant neural network architectures in natural...
An NLP framework for clinical phenotyping. Docker | Python | Solr | OMOP. http://claritynlp.readthedocs.io/en/latest/
Google's Meena transformer chatbot implementation
Botfuel SDK to build highly conversational chatbots
Automatic Entity Recognition and Typing for Domain-Specific Corpora (KDD'15)
A natural language event parser for java and android.
Applying NLP transfer learning techniques to predict Tweet stance toward a topic
R package to Embed All the Things! using StarSpace
Spoken Language Understanding(SLU)/Slot Filling in Keras
Term frequency–inverse document frequency for Chinese novel/documents implemented in python.
Tensorflow and Keras implementation of the state of the art researches in Dialog System NLU
:rage::innocent: Stanford Sentiment Treebank loader in Python
Library of state-of-the-art models (PyTorch) for NLP tasks
EN to JP and JP to EN with transformer models
Recon NER, Debug and correct annotated Named Entity Recognition (NER) data for inconsistencies and get insights on improving the quality of your data.
Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision
:question: Attention-based Visual Question Answering in Torch
This is the Repository where you can find all the solution of the Problems which you solve on competitive platforms mainly HackerRank and HackerEarth
German language support for TextBlob.
Let your talking do the code
Enso: An Open Source Library for Benchmarking Embeddings + Transfer Learning Methods
Oxford Deep NLP 2017 course - Open practical
A General Purpose NLP library for Turkish
TensorFlow implementation of Hierarchical Attention Networks for Document Classification and some extension
This is where I put all my work in Natural Language Processing
Oxford Deep NLP 2017 course - Practical 3: Text Classification with RNNs
Corpus of Annual Reports in Japan
Semantic Textual Similarity (STS) measures the degree of equivalence in the underlying semantics of paired snippets of text.
This project's aim, is to explore the world of Natural Language Processing (NLP) by building what is known as a Sentiment Analysis Model. We will be i...
ACL 2020 Unsupervised Opinion Summarization as Copycat-Review Generation
Code and Models for the paper "End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering" (NeurIPS 2021)
document embedding and machine learning script for beginners
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