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 26–50 of 204 papers

TitleStatusHype
A General-Purpose Algorithm for Constrained Sequential Inference—0
Boosting for Efficient Model Selection for Syntactic Parsing—0
An Empirical Investigation of Error Types in Vietnamese Parsing—0
A Generative Parser with a Discriminative Recognition Algorithm—0
A Warm Start and a Clean Crawled Corpus -- A Recipe for Good Language Models—0
A Conditional Splitting Framework for Efficient Constituency Parsing—0
Domain Adaptation for Dependency Parsing via Self-Training—0
Effective Inference for Generative Neural Parsing—0
An Empirical Comparison of Unsupervised Constituency Parsing Methods—0
A Feature-Rich Constituent Context Model for Grammar Induction—0
Discosuite - A parser test suite for German discontinuous structures—0
DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment—0
Corpus-Based Induction of Syntactic Structure: Models of Dependency and Constituency—0
Coreference Resolution in FreeLing 4.0—0
A treebank-based study on the influence of Italian word order on parsing performance—0
Attentive Tensor Product Learning—0
An Attempt to Develop a Neural Parser based on Simplified Head-Driven Phrase Structure Grammar on Vietnamese—0
At Which Level Should We Extract? An Empirical Analysis on Extractive Document Summarization—0
Cross-Lingual Constituency Parsing for Middle High German: A Delexicalized Approach—0
Cross-lingual Constituency Parsing with Linguistic Typology Knowledge—0
Discontinuity (Re) ^2-visited: A Minimalist Approach to Pseudoprojective Constituent Parsing—0
Deep Inside-outside Recursive Autoencoder with All-span Objective—0
DeepNL: a Deep Learning NLP pipeline—0
A Warm Start and a Clean Crawled Corpus - A Recipe for Good Language Models—0
Discriminative Strategies to Integrate Multiword Expression Recognition and Parsing—0
Show:102550
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Benchmark Results

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