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 76–100 of 204 papers

Title	Date	Tasks	Status
Construction of an English Dependency Corpus incorporating Compound Function Words	May 1, 2016	Constituency ParsingDependency Parsing	—Unverified
Entity-Aware Biaffine Attention Model for Improved Constituent Parsing with Reduced Entity Violations	Sep 1, 2024	Constituency ParsingSentence	—Unverified
Genres, Parsers, and BERT: The Interaction Between Parsers and BERT Models in Cross-Genre Constituency Parsing in English and Swedish	Apr 1, 2021	Constituency Parsing	—Unverified
Constituency Parsing of Bulgarian: Word- vs Class-based Parsing	May 1, 2014	ClusteringConstituency Parsing	—Unverified
Coreference Resolution in FreeLing 4.0	May 1, 2018	Constituency Parsingcoreference-resolution	—Unverified
Corpus-Based Induction of Syntactic Structure: Models of Dependency and Constituency	Jul 1, 2004	Constituency ParsingDependency Parsing	—Unverified
GrammarSHAP: An Efficient Model-Agnostic and Structure-Aware NLP Explainer	May 1, 2022	Constituency ParsingSentence	—Unverified
A Minimal Span-Based Neural Constituency Parser	May 10, 2017	Constituency Parsing	—Unverified
jp-evalb: Robust Alignment-based PARSEVAL Measures	May 23, 2024	Constituency ParsingSentence	—Unverified
Heads-up! Unsupervised Constituency Parsing via Self-Attention Heads	Oct 19, 2020	Constituency Parsing	—Unverified
How much do word embeddings encode about syntax?	Jun 1, 2014	ChunkingConstituency Parsing	—Unverified
Identifying Cascading Errors using Constraints in Dependency Parsing	Jul 1, 2015	Constituency ParsingDependency Parsing	—Unverified
At Which Level Should We Extract? An Empirical Analysis on Extractive Document Summarization	Apr 6, 2020	Constituency ParsingDocument Summarization	—Unverified
Cloze-driven Pretraining of Self-attention Networks	Mar 19, 2019	Constituency ParsingNamed Entity Recognition (NER)	—Unverified
Improving Low-resource RRG Parsing with Cross-lingual Self-training	Oct 1, 2022	Constituency Parsing	—Unverified
A Fast and Accurate Dependency Parser using Neural Networks	Oct 1, 2014	Constituency ParsingMachine Translation	—Unverified
Improving Neural Translation Models with Linguistic Factors	Dec 1, 2016	Constituency ParsingDependency Parsing	—Unverified
Efficient Constituency Parsing by Pointing	Jun 24, 2020	Constituency Parsing	—Unverified
Chunking Clinical Text Containing Non-Canonical Language	Jun 1, 2014	ChunkingConstituency Parsing	—Unverified
Incremental Parsing with Minimal Features Using Bi-Directional LSTM	Jun 21, 2016	BinarizationConstituency Parsing	—Unverified
Deep Inside-outside Recursive Autoencoder with All-span Objective	Dec 1, 2020	AllConstituency Parsing	—Unverified
Investigating Non-local Features for Neural Constituency Parsing	Jan 16, 2022	Constituency Parsing	—Unverified
Investigating NP-Chunking with Universal Dependencies for English	Nov 1, 2018	ChunkingConstituency Parsing	—Unverified
Iterative Transformation of Annotation Guidelines for Constituency Parsing	Aug 1, 2013	Constituency Parsing	—Unverified
A New Version of the Sk Treebank of Polish Harmonised with the Walenty Valency Dictionary	May 1, 2018	Constituency Parsing	—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