Dependency is a binary asymmetrical relation, which is represented in diagrams by an arrow from the head to the dependent, as shown in below.
This repository is about a re-implementation about some dependency parsing methods. There have been two major long-established methods for dependency parsing, transition-based parser and graph-based parser.
- Transition-based dependency parsing with stack long short-term memory pdf.
- Simple and accurate dependency parsing using bidirectional LSTM feature representations pdf.
- Globally normalized transition-based neural networks pdf.
- A re-ranking model for dependency parser with recursive convolutional neural network pdf.
- Stack-based multi-layer attention for transition-based dependency parsing pdf.
- Graph-to-Graph Transformer for Transition-based Dependency Parsing pdf.
- Dependency Parsing with Bottom-up Hierarchical Pointer Networks pdf.code.
- Greedy Transition-Based Dependency Parsing with Stack LSTMs pdf.
- Tree-Stack LSTM in Transition Based Dependency Parsing pdf.
- Global Transition-based Non-projective Dependency Parsing pdf.
- Stack-Pointer Networks for Dependency Parsing pdf.
- Enforcing structural diversity in cube-pruned dependency parsing pdf.
- Graph-based dependency parsing with bidirectional LSTM pdf.
- Deep biaffine attention for neural dependency parsing pdf.
- Improved dependency parsing using implicit word connections learned from unlabeled data pdf.
- Global Greedy Dependency Parsing pdf.
- Efficient Second-Order TreeCRF for Neural Dependency Parsing pdf.
- Left-to-Right Dependency Parsing with Pointer Networks pdf.
- Hierarchical Pointer Net Parsing pdf
- Head-Driven Phrase Structure Grammar Parsing on Penn Treebank pdf.
- Effective Representation for Easy-First Dependency Parsin pdf. code.
- Parsing All: Syntax and Semantics, Dependencies and Spans pdf.code.
- Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing – A Tale of Two Parsers Revisited pdf.
- Diversity-Aware Batch Active Learning for Dependency Parsing pdf.