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).
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/RobustNLP/TestTranslation
https://github.com/TalSchuster/CrossLingualContextualEmb
https://github.com/TurkuNLP/FinBERT
https://github.com/achernodub/targer
Neural End-to-End Learning for Computational Argumentation Mining
https://github.com/alexa/ramen
From English To Foreign Languages: Transferring Pre-trained Language Models
https://github.com/anaishoareau/french_preprocessing
https://github.com/anhtunguyen98/NER-biaffine
Analyzing Vietnamese Legal Questions Using Deep Neural Networks with Biaffine Classifiers
https://github.com/anouck96/parsingfrisian
Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP
https://github.com/astrazeneca/kazu
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
https://github.com/bourrel/French-News-Clustering
https://github.com/caijiong/CRFAE-Dep-Parser
https://github.com/chantera/biaffineparser
https://github.com/charles9n/bert-sklearn
https://github.com/chocowu/lasuie
https://github.com/danifg/SyntacticPointer
https://github.com/deepdialog/tf-parser
https://github.com/dmlc/gluon-nlp
https://github.com/elikip/htparser
Transition-Based Dependency Parsing with Stack Long Short-Term Memory
https://github.com/elisa-aleman/ctrip-tripadvisor-satisfaction-public
https://github.com/explosion/sense2vec
sense2vec - A Fast and Accurate Method for Word Sense Disambiguation In Neural Word Embeddings
https://github.com/facebookresearch/InferSent
DisSent: Sentence Representation Learning from Explicit Discourse Relations
https://github.com/facebookresearch/SentEval
DisSent: Sentence Representation Learning from Explicit Discourse Relations
https://github.com/fajri91/NeuralRST-TopDown
https://github.com/fajri91/RSTExtractor
https://github.com/februa22/biaffineparser
https://github.com/freesunshine0316/dep-forest-re
https://github.com/ganeshjawahar/ELMoLex
https://github.com/georgetown-cset/ai-relevant-papers
https://github.com/hbaflast/bert-sentiment-analysis-pytorch
https://github.com/hbaflast/bert-sentiment-analysis-tensorflow
https://github.com/hoangcuongnguyen2001/scibert-for-technique-classification
https://github.com/iflytek/cino
https://github.com/jeongukjae/KR-BERT-SimCSE
https://github.com/jiachengli1995/jointie
Generalizing Natural Language Analysis through Span-relation Representations
https://github.com/kh8fb/LAL-Parser-Server
Rethinking Self-Attention: Towards Interpretability in Neural Parsing
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.