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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–200 of 204 papers

TitleStatusHype
Unsupervised Parsing by Searching for Frequent Word Sequences among Sentences with Equivalent Predicate-Argument Structures—0
Construction of an English Dependency Corpus incorporating Compound Function Words—0
Coreference Resolution in FreeLing 4.0—0
Corpus-Based Induction of Syntactic Structure: Models of Dependency and Constituency—0
Cross-Lingual Constituency Parsing for Middle High German: A Delexicalized Approach—0
Cross-lingual Constituency Parsing with Linguistic Typology Knowledge—0
Deep Inside-outside Recursive Autoencoder with All-span Objective—0
DeepNL: a Deep Learning NLP pipeline—0
Dependency Parser Adaptation with Subtrees from Auto-Parsed Target Domain Data—0
Dialog Generation Using Multi-Turn Reasoning Neural Networks—0
DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment—0
Discontinuity (Re) ^2-visited: A Minimalist Approach to Pseudoprojective Constituent Parsing—0
Discosuite - A parser test suite for German discontinuous structures—0
Discriminative Strategies to Integrate Multiword Expression Recognition and Parsing—0
Re-evaluating the Need for Multimodal Signals in Unsupervised Grammar Induction—0
Domain Adaptation for Dependency Parsing via Self-Training—0
Do Transformers Parse while Predicting the Masked Word?—0
Effective Inference for Generative Neural Parsing—0
Efficient Constituency Parsing by Pointing—0
Entity-Aware Biaffine Attention Model for Improved Constituent Parsing with Reduced Entity Violations—0
Exploiting Lexical Dependencies from Large-Scale Data for Better Shift-Reduce Constituency Parsing—0
Exploring Confidence-based Self-training for Multilingual Dependency Parsing in an Under-Resourced Language Scenario—0
Fast Rule-Based Decoding: Revisiting Syntactic Rules in Neural Constituency Parsing—0
Fast Unsupervised Dependency Parsing with Arc-Standard Transitions—0
FBK: Machine Translation Evaluation and Word Similarity metrics for Semantic Textual Similarity—0
Genres, Parsers, and BERT: The Interaction Between Parsers and BERT Models in Cross-Genre Constituency Parsing in English and Swedish—0
Gradient-based Inference for Networks with Output Constraints—0
GrammarSHAP: An Efficient Model-Agnostic and Structure-Aware NLP Explainer—0
Heads-up! Unsupervised Constituency Parsing via Self-Attention Heads—0
How much do word embeddings encode about syntax?—0
Identifying Cascading Errors using Constraints in Dependency Parsing—0
Improving Low-resource RRG Parsing with Cross-lingual Self-training—0
Improving Neural Parsing by Disentangling Model Combination and Reranking Effects—0
Improving Neural Translation Models with Linguistic Factors—0
Incremental Parsing with Minimal Features Using Bi-Directional LSTM—0
Investigating Non-local Features for Neural Constituency Parsing—0
Investigating NP-Chunking with Universal Dependencies for English—0
Iterative Transformation of Annotation Guidelines for Constituency Parsing—0
Joint Chinese Word Segmentation and Span-based Constituency Parsing—0
jp-evalb: Robust Alignment-based PARSEVAL Measures—0
Knowledge Sources for Constituent Parsing of German, a Morphologically Rich and Less-Configurational Language—0
Learning Syntactic and Dynamic Selective Encoding for Document Summarization—0
Learning to Prune: Exploring the Frontier of Fast and Accurate Parsing—0
Left-corner Transitions on Dependency Parsing—0
Linear-Time Constituency Parsing with RNNs and Dynamic Programming—0
MSR SPLAT, a language analysis toolkit—0
Multi-Source Cross-Lingual Constituency Parsing—0
Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing—0
Neural Constituency Parsing of Speech Transcripts—0
Neural Discontinuous Constituency 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
8NFC + BERT-largeF1 score95.92—Unverified
9N-ary semi-markov + 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