dependency-parsing

👩‍🏫 Advanced NLP with spaCy: A free online course

Underthesea - Vietnamese NLP Toolkit

百度开源的依存句法分析系统

1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.

🚀 State-of-the-art parsers for natural language.

👑 spaCy building blocks and visualizers for Streamlit apps

基于Pytorch和torchtext的自然语言处理深度学习框架。

Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

A Vietnamese natural language processing toolkit (NAACL 2018)

Natural Language Processing Pipeline - Sentence Splitting, Tokenization, Lemmatization, Part-of-speech Tagging and Dependency Parsing

CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.

Deep neural models for core NLP tasks (Pytorch version)

Graph Convolution over Pruned Dependency Trees Improves Relation Extraction (authors' PyTorch implementation)

[ACL-IJCNLP 2021] Automated Concatenation of Embeddings for Structured Prediction

State-of-the-art, lightweight NLP tools for Turkish language. Developed by VNGRS.

NLP Cheat Sheet, Python, spacy, LexNPL, NLTK, tokenization, stemming, sentence detection, named entity recognition

HuSpaCy: industrial-strength Hungarian natural language processing

Neural network models for joint POS tagging and dependency parsing (CoNLL 2017-2018)

A minimal, pure Python library to interface with CoNLL-U format files.

PhoNLP: A BERT-based multi-task learning model for part-of-speech tagging, named entity recognition and dependency parsing (NAACL 2021)