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

基于Pytorch和torchtext的自然语言处理深度学习框架。

🚀 State-of-the-art syntactic/semantic parsers with pretrained models for many languages.

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

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.

👑 spaCy building blocks and visualizers for Streamlit apps

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

A Vietnamese natural language processing toolkit (NAACL 2018)

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.

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.

HuSpaCy: industrial-strength Hungarian natural language processing

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

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