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 176200 of 204 papers

TitleStatusHype
Discosuite - A parser test suite for German discontinuous structures0
Constituency Parsing of Bulgarian: Word- vs Class-based Parsing0
Self-training a Constituency Parser using n-gram Trees0
(Re)ranking Meets Morphosyntax: State-of-the-art Results from the SPMRL 2013 Shared Task0
Representation of Morphosyntactic Units and Coordination Structures in the Turkish Dependency Treebank0
The LIGM-Alpage architecture for the SPMRL 2013 Shared Task: Multiword Expression Analysis and Dependency Parsing0
A Multi-Teraflop Constituency Parser using GPUs0
Online Learning for Inexact Hypergraph Search0
Parsing Russian: a hybrid approach0
Iterative Transformation of Annotation Guidelines for Constituency Parsing0
Part-of-Speech Induction in Dependency Trees for Statistical Machine Translation0
Bilingually-Guided Monolingual Dependency Grammar Induction0
Dependency Parser Adaptation with Subtrees from Auto-Parsed Target Domain Data0
Syntactic Identification of Occurrences of Multiword Expressions in Text using a Lexicon with Dependency Structures0
Knowledge Sources for Constituent Parsing of German, a Morphologically Rich and Less-Configurational Language0
Word Segmentation, Unknown-word Resolution, and Morphological Agreement in a Hebrew Parsing System0
The French Social Media Bank: a Treebank of Noisy User Generated Content0
Exploiting Lexical Dependencies from Large-Scale Data for Better Shift-Reduce Constituency Parsing0
Assigning Deep Lexical Types Using Structured Classifier Features for Grammatical Dependencies0
An Empirical Investigation of Statistical Significance in NLP0
FBK: Machine Translation Evaluation and Word Similarity metrics for Semantic Textual Similarity0
Discriminative Strategies to Integrate Multiword Expression Recognition and Parsing0
A Feature-Rich Constituent Context Model for Grammar Induction0
Vine Pruning for Efficient Multi-Pass Dependency Parsing0
MSR SPLAT, a language analysis toolkit0
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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
8N-ary semi-markov + BERT-largeF1 score95.92Unverified
9NFC + 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