SOTAVerified

Dependency Parsing

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).

Papers

Showing 10011050 of 1407 papers

TitleStatusHype
On the Importance of Ezafe Construction in Persian Parsing0
Word-based Japanese typed dependency parsing with grammatical function analysis0
It Depends: Dependency Parser Comparison Using A Web-based Evaluation Tool0
A Data-Driven, Factorization Parser for CCG Dependency Structures0
Inverted indexing for cross-lingual NLP0
Parsing as Reduction0
Content Models for Survey Generation: A Factoid-Based Evaluation0
Parse Imputation for Dependency AnnotationsCode0
Cross-lingual Transfer of Named Entity Recognizers without Parallel Corpora0
A convex and feature-rich discriminative approach to dependency grammar induction0
Joint Dependency Parsing and Multiword Expression Tokenization0
Word Order Typology through Multilingual Word Alignment0
Transferring Coreference Resolvers with Posterior Regularization0
Cross-lingual Dependency Parsing Based on Distributed RepresentationsCode0
Graph parsing with s-graph grammars0
Identifying Cascading Errors using Constraints in Dependency Parsing0
A Neural Probabilistic Structured-Prediction Model for Transition-Based Dependency Parsing0
Feature Selection in Kernel Space: A Case Study on Dependency Parsing0
Feature Optimization for Constituent Parsing via Neural Networks0
An Effective Neural Network Model for Graph-based Dependency Parsing0
Structured Training for Neural Network Transition-Based Parsing0
A Bayesian Model for Generative Transition-based Dependency Parsing0
DeepNL: a Deep Learning NLP pipeline0
A Deep Architecture for Non-Projective Dependency ParsingCode1
Dependency Link Embeddings: Continuous Representations of Syntactic Substructures0
Turku: Semantic Dependency Parsing as a Sequence Classification0
JAIST: Combining multiple features for Answer Selection in Community Question Answering0
Lisbon: Evaluating TurboSemanticParser on Multiple Languages and Out-of-Domain Data0
GTI: An Unsupervised Approach for Sentiment Analysis in Twitter0
Peking: Building Semantic Dependency Graphs with a Hybrid Parser0
SemEval 2015 Task 18: Broad-Coverage Semantic Dependency Parsing0
Riga: from FrameNet to Semantic Frames with C6.0 Rules0
CMILLS: Adapting Semantic Role Labeling Features to Dependency Parsing0
The complexity of finding the maximum spanning DAG and other restrictions for DAG parsing of natural language0
Transition-Based Dependency Parsing with Stack Long Short-Term MemoryCode1
Learning Dynamic Feature Selection for Fast Sequential Prediction0
A Re-ranking Model for Dependency Parser with Recursive Convolutional Neural Network0
Adapting word2vec to Named Entity Recognition0
Improving cross-domain dependency parsing with dependency-derived clusters0
Improving the Cross-Lingual Projection of Syntactic Dependencies0
Hands-on Learning to Search for Structured Prediction0
Template Kernels for Dependency ParsingCode0
Simple task-specific bilingual word embeddings0
An In-depth Analysis of the Effect of Text Normalization in Social Media0
Because Syntax Does Matter: Improving Predicate-Argument Structures Parsing with Syntactic Features0
High-Order Low-Rank Tensors for Semantic Role Labeling0
Randomized Greedy Inference for Joint Segmentation, POS Tagging and Dependency Parsing0
Word Embedding-based Antonym Detection using Thesauri and Distributional Information0
Two/Too Simple Adaptations of Word2Vec for Syntax ProblemsCode0
Chain Based RNN for Relation Classification0
Show:102550
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Label Attention Layer + HPSG + XLNetLAS96.26Unverified
2DMPar + XLNetLAS95.92Unverified
3ACELAS95.8Unverified
4Deep Biaffine + RoBERTaLAS95.75Unverified
5HPSG Parser (Joint) + XLNetLAS95.72Unverified
6MFVILAS95.34Unverified
7CVT + Multi-TaskLAS95.02Unverified
8RNG TransformerLAS95.01Unverified
9SpanRelLAS94.7Unverified
10CRFParLAS94.49Unverified
#ModelMetricClaimedVerifiedStatus
1UDPipe 2.0 + mBERT + FLAIRLAS84.6Unverified
2UDifyLAS80.43Unverified
3HIT-SCIRLAS75.84Unverified
4Stanford+LAS74.16Unverified
5TurkuNLPLAS73.28Unverified
6UDPipe 2.0LAS73.11Unverified
#ModelMetricClaimedVerifiedStatus
1BiLSTM-CRFF191.92Unverified
2SciBERT (SciVocab)F191.41Unverified
3SciBERT (Base Vocab)F191.26Unverified
#ModelMetricClaimedVerifiedStatus
1BiLSTM-CRFF192.84Unverified
2SciBERT (SciVocab)F192.46Unverified
3SciBERT (Base Vocab)F192.32Unverified
#ModelMetricClaimedVerifiedStatus
1SuPar-BERTweetLabelled Attachment Score83.4Unverified
2Ensemble (20)Labelled Attachment Score79.4Unverified
3spaCy-XLM-RoBERTaLabelled Attachment Score79.39Unverified
#ModelMetricClaimedVerifiedStatus
1CRFParLAS86.52Unverified
2Biaffine ParserLAS85.38Unverified
#ModelMetricClaimedVerifiedStatus
1CamemBERTLAS92.47Unverified
2UDifyLAS91.45Unverified
#ModelMetricClaimedVerifiedStatus
1CamemBERTLAS92.9Unverified
2UDifyLAS88.06Unverified
#ModelMetricClaimedVerifiedStatus
1CamemBERTLAS94.39Unverified
2UDifyLAS90.05Unverified
#ModelMetricClaimedVerifiedStatus
1CamemBERTLAS81.37Unverified
2UDifyLAS80.01Unverified
#ModelMetricClaimedVerifiedStatus
1MFVILAS91.69Unverified
#ModelMetricClaimedVerifiedStatus
1da_dacy_large_tftLAS88.44Unverified
#ModelMetricClaimedVerifiedStatus
1CRFParLAS72.33Unverified
#ModelMetricClaimedVerifiedStatus
1StanzaMacro F181.13Unverified