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 226–250 of 447 papers

TitleStatusHype
Augmenting Neural Networks with First-order LogicCode0
GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence LabelingCode0
FLAIR: An Easy-to-Use Framework for State-of-the-Art NLPCode0
SC-LSTM: Learning Task-Specific Representations in Multi-Task Learning for Sequence Labeling—0
Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling—0
Neural CRF transducers for sequence labeling—0
Investigating NP-Chunking with Universal Dependencies for English—0
Learning Better Internal Structure of Words for Sequence Labeling—0
Large scale visual place recognition with sub-linear storage growthCode0
Weak Semi-Markov CRFs for NP Chunking in Informal Text—0
Sequence Labeling: A Practical ApproachCode0
Contextual String Embeddings for Sequence LabelingCode0
Learning to Generate Word Representations using Subword Information—0
Improving Neural Sequence Labelling using Additional Linguistic Information—0
Language Identification and Named Entity Recognition in Hinglish Code Mixed Tweets—0
NCRF++: An Open-source Neural Sequence Labeling ToolkitCode0
Design Challenges and Misconceptions in Neural Sequence LabelingCode0
Document Chunking and Learning Objective Generation for Instruction Design—0
DM\_NLP at SemEval-2018 Task 8: neural sequence labeling with linguistic features—0
Unsupervised Induction of Linguistic Categories with Records of Reading, Speaking, and Writing—0
Key2Vec: Automatic Ranked Keyphrase Extraction from Scientific Articles using Phrase Embeddings—0
Low-Latency Human Action Recognition with Weighted Multi-Region Convolutional Neural Network—0
Evaluation of Domain-specific Word Embeddings using Knowledge Resources—0
A Web Service for Pre-segmenting Very Long Transcribed Speech Recordings—0
Sudachi: a Japanese Tokenizer for BusinessCode0
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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