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

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Showing 1–10 of 1407 papers

TitleStatusHype
Step-by-step Instructions and a Simple Tabular Output Format Improve the Dependency Parsing Accuracy of LLMsCode0
UD-KSL Treebank v1.3: A semi-automated framework for aligning XPOS-extracted units with UPOS tags—0
LKD-KGC: Domain-Specific KG Construction via LLM-driven Knowledge Dependency Parsing—0
Dependency Parsing is More Parameter-Efficient with Normalization—0
FiLLM -- A Filipino-optimized Large Language Model based on Southeast Asia Large Language Model (SEALLM)—0
CrosGrpsABS: Cross-Attention over Syntactic and Semantic Graphs for Aspect-Based Sentiment Analysis in a Low-Resource Language—0
Semantic-based Unsupervised Framing Analysis (SUFA): A Novel Approach for Computational Framing Analysis—0
Hierarchical Bracketing Encodings for Dependency Parsing as TaggingCode0
Computational Identification of Regulatory Statements in EU Legislation—0
Dependency Structure Augmented Contextual Scoping Framework for Multimodal Aspect-Based Sentiment Analysis—0
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All datasetsPenn TreebankUniversal DependenciesGENIA - LASGENIA - UASTweebankCoNLL-2009French GSDParTUTSequoia TreebankSpoken CorpusChinese TreebankDaNE

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BiLSTM-CRFF192.84—Unverified
2SciBERT (SciVocab)F192.46—Unverified
3SciBERT (Base Vocab)F192.32—Unverified