https://github.com/lancopku/nndep
공식 코드Hybrid Oracle: Making Use of Ambiguity in Transition-based Chinese Dependency Parsing
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Dependency parsing is the task of extracting a dependency parse of a sentence that represents its grammatical structure and defines the relationships between "head" words and words, which modify those heads.
Example:
root
|
| +-------dobj---------+
| | |
nsubj | | +------det-----+ | +-----nmod------+
+--+ | | | | | | |
| | | | | +-nmod-+| | | +-case-+ |
+ | + | + + || + | + | |
I prefer the morning flight through Denver
Relations among the words are illustrated above the sentence with directed, labeled arcs from heads to dependents (+ indicates the dependent).
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Hybrid Oracle: Making Use of Ambiguity in Transition-based Chinese Dependency Parsing
BRENT: Bidirectional Retrieval Enhanced Norwegian Transformer
Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP
Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency Parsing
Enhancing deep neural networks with morphological information
Enhancing deep neural networks with morphological information
Auxiliary Tasks to Boost Biaffine Semantic Dependency Parsing
Syntactic Substitutability as Unsupervised Dependency Syntax
What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb Constructions?
Zero-Shot Dependency Parsing with Worst-Case Aware Automated Curriculum Learning
Recursive Subtree Composition in LSTM-Based Dependency Parsing
Robust Multilingual Part-of-Speech Tagging via Adversarial Training
Sequence Labeling Parsing by Learning Across Representations
To token or not to token: A Comparative Study of Text Representations for Cross-Lingual Transfer
Read, Tag, and Parse All at Once, or Fully-neural Dependency Parsing
Tracing the Development of the Virtual Particle Concept Using Semantic Change Detection
Systematic Inequalities in Language Technology Performance across the World's Languages
Generalizing Natural Language Analysis through Span-relation Representations
GUIDO: A Hybrid Approach to Guideline Discovery & Ordering from Natural Language Texts
Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing
On the Relation between Syntactic Divergence and Zero-Shot Performance
Ontology-Aware Token Embeddings for Prepositional Phrase Attachment
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.