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 51–60 of 204 papers

Title	Date	Tasks	Status
Assigning Deep Lexical Types Using Structured Classifier Features for Grammatical Dependencies	Jul 1, 2012	Constituency ParsingLanguage Modelling	—Unverified
Dialog Generation Using Multi-Turn Reasoning Neural Networks	Jun 1, 2018	Constituency ParsingImage Captioning	—Unverified
DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment	Aug 22, 2023	AttributeConstituency Parsing	—Unverified
Bilingually-Guided Monolingual Dependency Grammar Induction	Aug 1, 2013	Constituency ParsingDependency Grammar Induction	—Unverified
Discontinuity (Re) ^2-visited: A Minimalist Approach to Pseudoprojective Constituent Parsing	Jun 1, 2016	Constituency ParsingDependency Parsing	—Unverified
Boosting for Efficient Model Selection for Syntactic Parsing	Dec 1, 2016	Constituency Parsingmodel	—Unverified
Construction of an English Dependency Corpus incorporating Compound Function Words	May 1, 2016	Constituency ParsingDependency Parsing	—Unverified
Discriminative Strategies to Integrate Multiword Expression Recognition and Parsing	Jul 1, 2012	Constituency ParsingDependency Parsing	—Unverified
Re-evaluating the Need for Multimodal Signals in Unsupervised Grammar Induction	Dec 20, 2022	Constituency Parsing	—Unverified
A Constituency Parsing Tree based Method for Relation Extraction from Abstracts of Scholarly Publications	Nov 1, 2019	Constituency ParsingRelation	—Unverified

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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