SOTAVerified

Constituency Parsing

Constituency parsing aims to extract a constituency-based parse tree from a sentence that represents its syntactic structure according to a phrase structure grammar.

Example:

             Sentence (S)
                 |
   +-------------+------------+
   |                          |
 Noun (N)                Verb Phrase (VP)
   |                          |
 John                 +-------+--------+
                      |                |
                    Verb (V)         Noun (N)
                      |                |
                    sees              Bill

Recent approaches convert the parse tree into a sequence following a depth-first traversal in order to be able to apply sequence-to-sequence models to it. The linearized version of the above parse tree looks as follows: (S (N) (VP V N)).

Papers

Showing 150 of 204 papers

TitleStatusHype
Automatic Extraction of Clausal Embedding Based on Large-Scale English Text DataCode0
Revisiting Absence withSymptoms that *T* Show up Decades Later to Recover Empty Categories0
An Attempt to Develop a Neural Parser based on Simplified Head-Driven Phrase Structure Grammar on Vietnamese0
Improving Unsupervised Constituency Parsing via Maximizing Semantic InformationCode0
Entity-Aware Biaffine Attention Model for Improved Constituent Parsing with Reduced Entity Violations0
Structural Optimization Ambiguity and Simplicity Bias in Unsupervised Neural Grammar InductionCode0
To be Continuous, or to be Discrete, Those are Bits of QuestionsCode0
jp-evalb: Robust Alignment-based PARSEVAL Measures0
Unsupervised Parsing by Searching for Frequent Word Sequences among Sentences with Equivalent Predicate-Argument Structures0
Targeted aspect-based emotion analysis to detect opportunities and precaution in financial Twitter messages0
Tree-Averaging Algorithms for Ensemble-Based Unsupervised Discontinuous Constituency ParsingCode0
Structured Tree Alignment for Evaluation of (Speech) Constituency ParsingCode0
Sketch-Guided Constrained Decoding for Boosting Blackbox Large Language Models without Logit AccessCode0
Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence GenerationCode0
LLM-enhanced Self-training for Cross-domain Constituency ParsingCode0
Constituency Parsing using LLMs0
Simple Hardware-Efficient PCFGs with Independent Left and Right ProductionsCode0
DepNeCTI: Dependency-based Nested Compound Type Identification for SanskritCode0
Ensemble Distillation for Unsupervised Constituency ParsingCode0
DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment0
Cross-Lingual Constituency Parsing for Middle High German: A Delexicalized Approach0
Grammar-Constrained Decoding for Structured NLP Tasks without FinetuningCode2
Approximating CKY with TransformersCode0
Cascading and Direct Approaches to Unsupervised Constituency Parsing on Spoken SentencesCode0
Do Transformers Parse while Predicting the Masked Word?0
Re-evaluating the Need for Multimodal Signals in Unsupervised Grammar Induction0
Unsupervised Discontinuous Constituency Parsing with Mildly Context-Sensitive GrammarsCode1
Fast Rule-Based Decoding: Revisiting Syntactic Rules in Neural Constituency Parsing0
On Parsing as TaggingCode1
Joint Chinese Word Segmentation and Span-based Constituency Parsing0
Order-sensitive Neural Constituency Parsing0
Shift-Reduce Task-Oriented Semantic Parsing with Stack-TransformersCode0
Improving Low-resource RRG Parsing with Cross-lingual Self-training0
Court Judgement Labeling Using Topic Modeling and Syntactic ParsingCode0
DadmaTools: Natural Language Processing Toolkit for Persian LanguageCode2
A Warm Start and a Clean Crawled Corpus - A Recipe for Good Language Models0
TreeMix: Compositional Constituency-based Data Augmentation for Natural Language UnderstandingCode1
Word Segmentation as Unsupervised Constituency Parsing0
Learned Incremental Representations for ParsingCode1
Phrase-aware Unsupervised Constituency Parsing0
Challenges to Open-Domain Constituency ParsingCode1
GrammarSHAP: An Efficient Model-Agnostic and Structure-Aware NLP Explainer0
Nested Named Entity Recognition as Latent Lexicalized Constituency ParsingCode1
CPTAM: Constituency Parse Tree Aggregation MethodCode0
Investigating Non-local Features for Neural Constituency Parsing0
Unsupervised Full Constituency Parsing with Neighboring Distribution Divergence0
A Warm Start and a Clean Crawled Corpus -- A Recipe for Good Language Models0
Semantics-Preserved Distortion for Personal Privacy Protection in Information Management0
Multi-Source Cross-Lingual Constituency Parsing0
Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing0
Show:102550
← PrevPage 1 of 5Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Hashing + XLNetF1 score96.43Unverified
2SAPar + XLNetF1 score96.4Unverified
3Label Attention Layer + HPSG + XLNetF1 score96.38Unverified
4Attach-Juxtapose Parser + XLNetF1 score96.34Unverified
5Head-Driven Phrase Structure Grammar Parsing (Joint) + XLNetF1 score96.33Unverified
6CRF Parser + RoBERTaF1 score96.32Unverified
7Hashing + BertF1 score96.03Unverified
8N-ary semi-markov + BERT-largeF1 score95.92Unverified
9NFC + BERT-largeF1 score95.92Unverified
10Head-Driven Phrase Structure Grammar Parsing (Joint) + BERTF1 score95.84Unverified
#ModelMetricClaimedVerifiedStatus
1Attach-Juxtapose Parser + BERTF1 score93.52Unverified
2SAPar + BERTF1 score92.66Unverified
3N-ary semi-markov + BERTF1 score92.5Unverified
4Hashing + BertF1 score92.33Unverified
5CRF Parser + BERTF1 score92.27Unverified
6Kitaev etal. 2019F1 score91.75Unverified
7CRF ParserF1 score89.8Unverified
8Zhou etal. 2019F1 score89.4Unverified
9Kitaev etal. 2018F1 score87.43Unverified
#ModelMetricClaimedVerifiedStatus
1CRF Parser + ElectraF1 score91.92Unverified
2CRF Parser + BERTF1 score91.55Unverified
3CRF ParserF1 score88.6Unverified
#ModelMetricClaimedVerifiedStatus
1SAParF183.26Unverified