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 51–75 of 447 papers

TitleStatusHype
Adapting the TTL Romanian POS Tagger to the Biomedical Domain—0
A New Recurrent Neural CRF for Learning Non-linear Edge Features—0
Automatic Morphological Enrichment of a Morphologically Underspecified Treebank—0
A New HOPE: Domain-agnostic Automatic Evaluation of Text Chunking—0
ACT-JEPA: Joint-Embedding Predictive Architecture Improves Policy Representation Learning—0
AccelGen: Heterogeneous SLO-Guaranteed High-Throughput LLM Inference Serving for Diverse Applications—0
A Web Service for Pre-segmenting Very Long Transcribed Speech Recordings—0
Linguistic Resources for Bhojpuri, Magahi and Maithili: Statistics about them, their Similarity Estimates, and Baselines for Three Applications—0
Bayesian Induction of Bracketing Inversion Transduction Grammars—0
Bayes Test of Precision, Recall, and F1 Measure for Comparison of Two Natural Language Processing Models—0
Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT—0
A Unified Tagging Solution: Bidirectional LSTM Recurrent Neural Network with Word Embedding—0
Analyzing the Impact of Spelling Errors on POS-Tagging and Chunking in Learner English—0
A Unified Framework for Structured Prediction: From Theory to Practice—0
A Unified Framework for Discourse Argument Identification via Shallow Semantic Parsing—0
An Algebra for Feature Extraction—0
Action abstractions for amortized sampling—0
A Model of Vietnamese Person Named Entity Question Answering System—0
Attending to Characters in Neural Sequence Labeling Models—0
Accelerating Vision-Language-Action Model Integrated with Action Chunking via Parallel Decoding—0
A CRF Method of Identifying Prepositional Phrases in Chinese Patent Texts—0
A Boosted Semi-Markov Perceptron—0
Can LLMs Replace Humans During Code Chunking?—0
Can we chunk well with bad POS labels? (Peut-on bien chunker avec de mauvaises \'etiquettes POS ?) [in French]—0
At a Glance: The Impact of Gaze Aggregation Views on Syntactic Tagging—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