SOTAVerified

Chunking

Chunking, also known as shallow parsing, identifies continuous spans of tokens that form syntactic units such as noun phrases or verb phrases.

Example:

| Vinken | , | 61 | years | old | | --- | ---| --- | --- | --- | | B-NLP| I-NP | I-NP | I-NP | I-NP |

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 251–275 of 447 papers

TitleStatusHype
What's Wrong, Python? -- A Visual Differ and Graph Library for NLP in PythonCode0
A Tree Search Algorithm for Sequence LabelingCode0
A Feature-Rich Vietnamese Named-Entity Recognition ModelCode0
Cross-View Training for Semi-Supervised Learning—0
Analyzing the Impact of Spelling Errors on POS-Tagging and Chunking in Learner English—0
Does Higher Order LSTM Have Better Accuracy for Segmenting and Labeling Sequence Data?Code0
A Sequential Neural Encoder with Latent Structured Description for Modeling Sentences—0
Robust Multilingual Part-of-Speech Tagging via Adversarial TrainingCode0
Segment-Level Neural Conditional Random Fields for Named Entity Recognition—0
Linear-Time Sequence Classification using Restricted Boltzmann Machines—0
Realization of long sentences using chunking—0
Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings—0
Annotation of Clinical Narratives in Bulgarian language—0
Chinese Descriptive and Resultative V-de Constructions. A Dependency-based Analysis—0
The Component Unit. Introducing a Novel Unit of Syntactic Analysis—0
Boundary-based MWE segmentation with text partitioning—0
Adapting the TTL Romanian POS Tagger to the Biomedical Domain—0
Hierarchical Word Structure-based Parsing: A Feasibility Study on UD-style Dependency Parsing in Japanese—0
Learning the Structure of Variable-Order CRFs: a finite-state perspective—0
A Unified Framework for Structured Prediction: From Theory to Practice—0
Exploiting Morphological Regularities in Distributional Word Representations—0
NNVLP: A Neural Network-Based Vietnamese Language Processing ToolkitCode0
PKU\_ICL at SemEval-2017 Task 10: Keyphrase Extraction with Model Ensemble and External Knowledge—0
An Algebra for Feature Extraction—0
Improving Scalability of Inductive Logic Programming via Pruning and Best-Effort Optimisation—0
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All datasetsCoNLL-2000Penn TreebankCoNLL 2003 (German)CoNLL 2003 (English)CoNLL 2003

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ACEExact Span F197.3—Unverified
2BERT-CRF (Replicated in AdaSeq)Exact Span F197.18—Unverified
3ELMo + MAT + Multi-TaskExact Span F197.04—Unverified
4CVT+Multi-Task+LargeExact Span F196.98—Unverified
5ELMo + Multi-TaskExact Span F196.83—Unverified
6FlairExact Span F196.72—Unverified
7SeqVATExact Span F195.45—Unverified
8Adversarial TrainingExact Span F195.25—Unverified
9BiLSTM-CRFExact Span F195.18—Unverified
#ModelMetricClaimedVerifiedStatus
1ACEF1 score97.3—Unverified
2Flair embeddingsF1 score96.72—Unverified
3JMTF1 score95.77—Unverified
4Low supervisionF1 score95.57—Unverified
5IntNet + BiLSTM-CRFF1 score95.29—Unverified
6Suzuki and IsozakiF1 score95.15—Unverified
7NCRF++F1 score95.06—Unverified
8BI-LSTM-CRF (Senna) (ours)F1 score94.46—Unverified
#ModelMetricClaimedVerifiedStatus
1ACEF195—Unverified
2Wang et al., 2020F194.4—Unverified
3AINF194.04—Unverified
#ModelMetricClaimedVerifiedStatus
1Wang et al., 2020F192—Unverified
2AINF191.71—Unverified
#ModelMetricClaimedVerifiedStatus
1Def2VecAUC93.07—Unverified