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
UDPipe: Trainable Pipeline for Processing CoNLL-U Files Performing Tokenization, Morphological Analysis, POS Tagging and Parsing0
UIO-Lien: Entailment Recognition using Minimal Recursion Semantics0
Unified Dependency Parsing of Chinese Morphological and Syntactic Structures0
Universal Dependencies are Hard to Parse -- or are They?0
Universal Dependencies for Croatian (that work for Serbian, too)0
Universal Dependencies for Learner English0
Universal Dependencies for Norwegian0
Universal Dependencies for Portuguese0
Universal Dependency Annotation for Multilingual Parsing0
Universal Dependency Evaluation0
Universalizing BulTreeBank: a Linguistic Tale about Glocalization0
Unsupervised Dependency Graph Network0
Unsupervised Dependency Parsing: Let's Use Supervised Parsers0
Unsupervised Dependency Parsing using Reducibility and Fertility features0
Unsupervised Dependency Parsing with Transferring Distribution via Parallel Guidance and Entropy Regularization0
Unsupervised Dependency Parsing with Acoustic Cues0
Unsupervised Domain Adaptation Method with Semantic-Structural Alignment for Dependency Parsing0
Unsupervised Induction of Tree Substitution Grammars for Dependency Parsing0
Unsupervised Korean Word Sense Disambiguation using CoreNet0
Unsupervised Part of Speech Inference with Particle Filters0
Unsupervised Person Slot Filling based on Graph Mining0
Unsupervised Sentence Simplification via Dependency Parsing0
Unsupervised Spectral Learning of WCFG as Low-rank Matrix Completion0
UParse: the Edinburgh system for the CoNLL 2017 UD shared task0
Using an SVM Ensemble System for Improved Tamil Dependency Parsing0
Using CCG categories to improve Hindi dependency parsing0
Using Deep Linguistic Features for Finding Deceptive Opinion Spam0
Using dependency parsing for few-shot learning in distributional semantics0
Using reading behavior to predict grammatical functions0
Using Supertags and Encoded Annotation Principles for Improved Dependency to Phrase Structure Conversion0
Using Syntactic Head Information in Hierarchical Phrase-Based Translation0
Using unlabeled dependency parsing for pre-reordering for Chinese-to-Japanese statistical machine translation0
USzeged: Identifying Verbal Multiword Expressions with POS Tagging and Parsing Techniques0
Utilizing Dependency Language Models for Graph-based Dependency Parsing Models0
UZH in BioNLP 20130
Validation Issues induced by an Automatic Pre-Annotation Mechanism in the Building of Non-projective Dependency Treebanks0
Variational Inference for Structured NLP Models0
Vietnamese Open Information Extraction0
Vietnamese transition-based dependency parsing with supertag features0
Vine Pruning for Efficient Multi-Pass Dependency Parsing0
VLSP 2020 Shared Task: Universal Dependency Parsing for Vietnamese0
Weakly Supervised Headline Dependency Parsing0
Weakly-Supervised Learning with Cost-Augmented Contrastive Estimation0
Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning0
Weakly Supervised Visual Question Answer Generation0
WebAnno: A Flexible, Web-based and Visually Supported System for Distributed Annotations0
Web-scale Surface and Syntactic n-gram Features for Dependency Parsing0
What are the attackers doing now? Automating cyber threat intelligence extraction from text on pace with the changing threat landscape: A survey0
What can we learn from Semantic Tagging?0
What do character-level models learn about morphology? The case of dependency parsing0
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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