Papers with Code 아카이브

Dependency Parsing

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 5
평가표: 16
보존된 평가 기록: 54

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/kuldeep7688/BioMedicalBertNer

SciBERT: A Pretrained Language Model for Scientific Text

https://github.com/lizhou21/cultural-compass

Cross-Cultural Similarity Features for Cross-Lingual Transfer Learning of Pragmatically Motivated Tasks

https://github.com/maexe/linspector-web

LINSPECTOR: Multilingual Probing Tasks for Word Representations

https://github.com/makyr90/Biaffine_Parser

Deep Biaffine Attention for Neural Dependency Parsing

https://github.com/mblondel/fenchel-young-losses

SparseMAP: Differentiable Sparse Structured Inference

https://github.com/mblondel/projection-losses

SparseMAP: Differentiable Sparse Structured Inference

https://github.com/mgzeke0/biaffineparser

Deep Biaffine Attention for Neural Dependency Parsing

https://github.com/microsoft/K-Adapter

K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

https://github.com/oroszgy/spacy-hungarian-models

Advancing Hungarian Text Processing with HuSpaCy: Efficient and Accurate NLP Pipelines

https://github.com/pwc-1/Paper-8/tree/main/camembert

CamemBERT: a Tasty French Language Model

https://github.com/rasoolims/YaraParser

Yara Parser: A Fast and Accurate Dependency Parser

https://github.com/rasoolims/stanza

Stanza: A Python Natural Language Processing Toolkit for Many Human Languages

https://github.com/redrew/neuralrst-bottom-up

Deep Biaffine Attention for Neural Dependency Parsing

https://github.com/rezkaaufar/pytorch-cvt

Semi-Supervised Sequence Modeling with Cross-View Training

https://github.com/sb-b/steps-parser

Applying Occam's Razor to Transformer-Based Dependency Parsing: What Works, What Doesn't, and What is Really Necessary

https://github.com/shitian-taiger/relational-extraction

Deep Biaffine Attention for Neural Dependency Parsing

https://github.com/shuhewang1998/gpt-ner

Dependency Parsing as MRC-based Span-Span Prediction

https://github.com/sktwtrg/stanza_ja_test

Stanza: A Python Natural Language Processing Toolkit for Many Human Languages

https://github.com/slanglab/tweetie_wnut2022

https://github.com/stefan-it/fine-tuned-berts-seq

Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT

https://github.com/stevekgyang/sccl

K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

https://github.com/swabhs/coling18tutorial

Learning Joint Semantic Parsers from Disjoint Data

https://github.com/synapse-developpement/Discovery

DisSent: Sentence Representation Learning from Explicit Discourse Relations

https://github.com/synlp/dmpar

https://github.com/tdozat/Parser

Deep Biaffine Attention for Neural Dependency Parsing

https://github.com/tdozat/Parser-v1

Deep Biaffine Attention for Neural Dependency Parsing

https://github.com/tdozat/Parser-v3

Simpler but More Accurate Semantic Dependency Parsing

https://github.com/tensorflow/models

Semi-Supervised Sequence Modeling with Cross-View Training

https://github.com/tensorflow/models/tree/master/research/syntaxnet

Globally Normalized Transition-Based Neural Networks

https://github.com/tetsu9923/scireviewgen

SciBERT: A Pretrained Language Model for Scientific Text

https://github.com/textflint/textflint

Stanza: A Python Natural Language Processing Toolkit for Many Human Languages

https://github.com/timerstime/SDG4DA

Transition-Based Dependency Parsing with Stack Long Short-Term Memory

https://github.com/uclanlp/0ShotCLTwithOD

On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing

https://github.com/vsubramaniam851/typ_embed

Deep Biaffine Attention for Neural Dependency Parsing

https://github.com/wfeely/farsiNLPTools

https://github.com/yzhangcs/parser

Deep Biaffine Attention for Neural Dependency Parsing

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.