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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 101–125 of 204 papers

Title	Date	Tasks	Status
A Conditional Splitting Framework for Efficient Constituency Parsing	Jun 30, 2021	Constituency ParsingDiscourse Parsing	—Unverified
Self-training a Constituency Parser using n-gram Trees	May 1, 2014	Constituency ParsingSentence	—Unverified
Semantic Parsing for Task Oriented Dialog using Hierarchical Representations	Oct 18, 2018	Constituency ParsingSemantic Parsing	—Unverified
Semantics-Preserved Distortion for Personal Privacy Protection in Information Management	Jan 4, 2022	AttributeConstituency Parsing	—Unverified
Shift-Reduce Constituency Parsing with Dynamic Programming and POS Tag Lattice	May 1, 2015	Constituency ParsingDependency Parsing	—Unverified
Span-based discontinuous constituency parsing: a family of exact chart-based algorithms with time complexities from O(n\^6) down to O(n\^3)	Nov 1, 2020	Constituency ParsingWord Embeddings	—Unverified
Statistical Parsing by Machine Learning from a Classical Arabic Treebank	Oct 25, 2015	BIG-bench Machine LearningConstituency Parsing	—Unverified
Strategies for Contiguous Multiword Expression Analysis and Dependency Parsing	Jun 1, 2014	Constituency ParsingDependency Parsing	—Unverified
Supervised Attention for Sequence-to-Sequence Constituency Parsing	Nov 1, 2017	Constituency ParsingMachine Translation	—Unverified
Syntactic Identification of Occurrences of Multiword Expressions in Text using a Lexicon with Dependency Structures	Jun 1, 2013	Constituency ParsingDependency Parsing	—Unverified
Targeted aspect-based emotion analysis to detect opportunities and precaution in financial Twitter messages	Mar 30, 2024	Constituency ParsingEmotion Recognition	—Unverified
Temporal@ODIL project: Adapting ISO-TimeML to syntactic treebanks for the temporal annotation of spoken speech	Jan 1, 2017	Constituency Parsing	—Unverified
The Effect of Dependency Representation Scheme on Syntactic Language Modelling	Nov 1, 2014	Constituency ParsingDependency Parsing	—Unverified
The French Social Media Bank: a Treebank of Noisy User Generated Content	Dec 1, 2012	Constituency ParsingDomain Adaptation	—Unverified
The LIGM-Alpage architecture for the SPMRL 2013 Shared Task: Multiword Expression Analysis and Dependency Parsing	Oct 1, 2013	Constituency ParsingDependency Parsing	—Unverified
The Limitations of Limited Context for Constituency Parsing	Jun 3, 2021	Constituency ParsingLanguage Modelling	—Unverified
Top-down Tree Structured Decoding with Syntactic Connections for Neural Machine Translation and Parsing	Sep 6, 2018	Constituency ParsingDecoder	—Unverified
Unity in Diversity: A Unified Parsing Strategy for Major Indian Languages	Sep 1, 2017	Constituency ParsingDiversity	—Unverified
Universal Recurrent Neural Network Grammar	Oct 1, 2021	Constituency ParsingCross-Lingual Transfer	—Unverified
Unsupervised Full Constituency Parsing with Neighboring Distribution Divergence	Oct 29, 2021	Constituency ParsingPOS	—Unverified
Unsupervised Full Constituency Parsing with Neighboring Distribution Divergence	Jan 16, 2022	Constituency Parsingnamed-entity-recognition	—Unverified
Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders	Nov 1, 2019	Constituency Parsing	—Unverified
Unsupervised Parsing with S-DIORA: Single Tree Encoding for Deep Inside-Outside Recursive Autoencoders	Nov 1, 2020	Constituency Grammar InductionConstituency Parsing	—Unverified
Vine Pruning for Efficient Multi-Pass Dependency Parsing	Jun 1, 2012	Constituency ParsingDependency Parsing	—Unverified
Word Segmentation as Unsupervised Constituency Parsing	May 1, 2022	Constituency ParsingRelation	—Unverified

Show:10 25 50

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All datasets Penn Treebank CTB5 CTB7 ATB

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Hashing + XLNet	F1 score	96.43	—	Unverified
2	SAPar + XLNet	F1 score	96.4	—	Unverified
3	Label Attention Layer + HPSG + XLNet	F1 score	96.38	—	Unverified
4	Attach-Juxtapose Parser + XLNet	F1 score	96.34	—	Unverified
5	Head-Driven Phrase Structure Grammar Parsing (Joint) + XLNet	F1 score	96.33	—	Unverified
6	CRF Parser + RoBERTa	F1 score	96.32	—	Unverified
7	Hashing + Bert	F1 score	96.03	—	Unverified
8	N-ary semi-markov + BERT-large	F1 score	95.92	—	Unverified
9	NFC + BERT-large	F1 score	95.92	—	Unverified
10	Head-Driven Phrase Structure Grammar Parsing (Joint) + BERT	F1 score	95.84	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Attach-Juxtapose Parser + BERT	F1 score	93.52	—	Unverified
2	SAPar + BERT	F1 score	92.66	—	Unverified
3	N-ary semi-markov + BERT	F1 score	92.5	—	Unverified
4	Hashing + Bert	F1 score	92.33	—	Unverified
5	CRF Parser + BERT	F1 score	92.27	—	Unverified
6	Kitaev etal. 2019	F1 score	91.75	—	Unverified
7	CRF Parser	F1 score	89.8	—	Unverified
8	Zhou etal. 2019	F1 score	89.4	—	Unverified
9	Kitaev etal. 2018	F1 score	87.43	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CRF Parser + Electra	F1 score	91.92	—	Unverified
2	CRF Parser + BERT	F1 score	91.55	—	Unverified
3	CRF Parser	F1 score	88.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SAPar	F1	83.26	—	Unverified