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 76100 of 204 papers

TitleStatusHype
Nested Named Entity Recognition with Partially-Observed TreeCRFsCode1
Deep Inside-outside Recursive Autoencoder with All-span Objective0
StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language ModelingCode1
Improving Sequence-to-Sequence Semantic Parser for Task Oriented DialogCode0
Unsupervised Parsing with S-DIORA: Single Tree Encoding for Deep Inside-Outside Recursive Autoencoders0
Span-based discontinuous constituency parsing: a family of exact chart-based algorithms with time complexities from O(n\^6) down to O(n\^3)0
Strongly Incremental Constituency Parsing with Graph Neural NetworksCode1
An Empirical Study for Vietnamese Constituency Parsing with Pre-training0
Heads-up! Unsupervised Constituency Parsing via Self-Attention Heads0
Improving Constituency Parsing with Span AttentionCode1
Latent Tree Learning with Ordered Neurons: What Parses Does It Produce?Code0
On the Role of Supervision in Unsupervised Constituency Parsing0
Converting the Point of View of Messages Spoken to Virtual AssistantsCode0
Reusable Phrase Extraction Based on Syntactic Parsing0
Fast and Accurate Neural CRF Constituency ParsingCode1
An Empirical Comparison of Unsupervised Constituency Parsing Methods0
Efficient Constituency Parsing by Pointing0
Qu'apporte BERT \`a l'analyse syntaxique en constituants discontinus ? Une suite de tests pour \'evaluer les pr\'edictions de structures syntaxiques discontinues en anglais (What does BERT contribute to discontinuous constituency parsing ? A test suite to evaluate discontinuous constituency structure predictions in English)0
Multilingual Chart-based Constituency Parse Extraction from Pre-trained Language ModelsCode0
At Which Level Should We Extract? An Empirical Analysis on Extractive Document Summarization0
Span-based discontinuous constituency parsing: a family of exact chart-based algorithms with time complexities from O(n^6) down to O(n^3)Code0
Learning Syntactic and Dynamic Selective Encoding for Document Summarization0
Unsupervised Discourse Constituency Parsing Using Viterbi EMCode0
Rethinking Self-Attention: Towards Interpretability in Neural ParsingCode0
Generalizing Natural Language Analysis through Span-relation RepresentationsCode0
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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
8NFC + BERT-largeF1 score95.92Unverified
9N-ary semi-markov + 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