There are 7 repositories under dependency-parsing topic.
👩🏫 Advanced NLP with spaCy: A free online course
Underthesea - Vietnamese NLP Toolkit
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.
基于Pytorch和torchtext的自然语言处理深度学习框架。
👑 spaCy building blocks and visualizers for Streamlit apps
Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing
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.
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
Neural network models for joint POS tagging and dependency parsing (CoNLL 2017-2018)
PhoNLP: A BERT-based multi-task learning model for part-of-speech tagging, named entity recognition and dependency parsing (NAACL 2021)
100 bài luyện tập xử lý ngôn ngữ tự nhiên
Stanford CoreNLP in idiomatic Clojure.
IndoLEM is a comprehensive Indonesian NLU benchmark, comprising three pillars NLP task: morpho-syntax, semantic, and discourse. Presented in COLING 2020.
[ACL'20, IJCAI'20] Code for "Efficient Second-Order TreeCRF for Neural Dependency Parsing" and "Fast and Accurate Neural CRF Constituency Parsing".
BERT+Self-attention Encoder ; Biaffine Decoder ; Pytorch Implement
[ACL 2020] Structure-Level Knowledge Distillation For Multilingual Sequence Labeling
Neural syntax annotator, supporting sequence labeling, lemmatization, and dependency parsing.
Kyoto University Text Corpus
Demo code to use SyntaxNet for basic paraphrasing.
The course notes about Stanford CS224n Natural Language Processing with Deep Learning Winter 2019 (using PyTorch)
A Transformer-based natural language processing toolkit for (modern) Greek.
Tokenization, sentence segmentation, POS tagging and dependency parsing for biomedical texts (BMC Bioinformatics 2019)
Succeeded by SyntaxDot: https://github.com/tensordot/syntaxdot