📖 A Golang library for text processing, including tokenization, part-of-speech tagging, and named-entity extraction.
Natural language processing pipeline for book-length documents
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
Low Resource Languages
Resources for conservation, development, and documentation of low resource (human) languages.
awesome grounding: A curated list of research papers in visual grounding
A powerful Swift framework for evaluating mathematical expressions
Repository for Project Insight: NLP as a Service
Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)
A Span-Extraction Dataset for Chinese Machine Reading Comprehension (CMRC 2018)
Natural Language Toolkit for bahasa Malaysia, https://malaya.readthedocs.io/
NLP: Convert Japanese Kana-kanji sentences into Kana-Roman in simple algorithm.
The tool to make NLP datasets ready to use
Pytorch Bert Crf Ner
KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)
MITIE: library and tools for information extraction
🍳 Recipes for the Prodigy, our fully scriptable annotation tool
ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks
Pytorch Transformers Classification
Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.
🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
EMNLP 2018: RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
Oxford Deep NLP 2017 course - Practical 1: word2vec
A Knowledge Base for the FB Group Artificial Intelligence and Deep Learning (AIDL)
List of projects related to Natural Language Processing (NLP) that make a geek smile for they exist
The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.
[CVPR 2017] Torch code for Visual Dialog
Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)
ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP
Interpretable data visualizations for understanding how texts differ at the word level
Knowledge-Aware Graph Networks for Commonsense Reasoning (EMNLP-IJCNLP 19)
A CoNLL-U parser that takes a CoNLL-U formatted string and turns it into a nested python dictionary.
Meandering In Networks of Entities to Reach Verisimilar Answers
THE String Processing Package for R (with ICU)
Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.
Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.