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 101–150 of 447 papers

TitleStatusHype
NitiBench: A Comprehensive Studies of LLM Frameworks Capabilities for Thai Legal Question AnsweringCode0
Language-Agnostic Syllabification with Neural Sequence LabelingCode0
KidneyTalk-open: No-code Deployment of a Private Large Language Model with Medical Documentation-Enhanced Knowledge Database for Kidney DiseaseCode0
Large-scale image segmentation based on distributed clustering algorithmsCode0
Integrating Supertag Features into Neural Discontinuous Constituent ParsingCode0
CmnRec: Sequential Recommendations with Chunk-accelerated Memory NetworkCode0
GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence LabelingCode0
J2N -- Nominal Adjective Identification and its ApplicationCode0
Large scale visual place recognition with sub-linear storage growthCode0
Weighted Training for Cross-Task LearningCode0
Design Challenges and Misconceptions in Neural Sequence LabelingCode0
Financial Report Chunking for Effective Retrieval Augmented GenerationCode0
FLAIR: An Easy-to-Use Framework for State-of-the-Art NLPCode0
Def2Vec: Extensible Word Embeddings from Dictionary DefinitionsCode0
Evaluation of Word Vector Representations by Subspace AlignmentCode0
Does Chinese BERT Encode Word Structure?Code0
Evaluating Relaxations of Logic for Neural Networks: A Comprehensive StudyCode0
Experiential Explanations for Reinforcement LearningCode0
FlexChunk: Enabling 100M×100M Out-of-Core SpMV (~1.8 min, ~1.7 GB RAM) with Near-Linear ScalingCode0
NNVLP: A Neural Network-Based Vietnamese Language Processing ToolkitCode0
CUSIDE: Chunking, Simulating Future Context and Decoding for Streaming ASRCode0
Sequence Compression Speeds Up Credit Assignment in Reinforcement LearningCode0
Deep Learning Transformer Architecture for Named Entity Recognition on Low Resourced Languages: State of the art results—0
Decomposing Bilexical Dependencies into Semantic and Syntactic Vectors—0
Decoding with Finite-State Transducers on GPUs—0
Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT—0
An Experimental Investigation of Part-Of-Speech Taggers for Vietnamese—0
Bayes Test of Precision, Recall, and F1 Measure for Comparison of Two Natural Language Processing Models—0
Crowd Prefers the Middle Path: A New IAA Metric for Crowdsourcing Reveals Turker Biases in Query Segmentation—0
Cross-View Training for Semi-Supervised Learning—0
Bayesian Induction of Bracketing Inversion Transduction Grammars—0
An Experimental Comparison of Active Learning Strategies for Partially Labeled Sequences—0
Adapting the TTL Romanian POS Tagger to the Biomedical Domain—0
Cross-lingual transfer parser from Hindi to Bengali using delexicalization and chunking—0
CronusVLA: Transferring Latent Motion Across Time for Multi-Frame Prediction in Manipulation—0
Linguistic Resources for Bhojpuri, Magahi and Maithili: Statistics about them, their Similarity Estimates, and Baselines for Three Applications—0
Counting What Counts: Decompounding for Keyphrase Extraction—0
Coreference Resolution for the Basque Language with BART—0
A Web Service for Pre-segmenting Very Long Transcribed Speech Recordings—0
A New Recurrent Neural CRF for Learning Non-linear Edge Features—0
context2vec: Learning Generic Context Embedding with Bidirectional LSTM—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
Concept-Guided Interpretability via Neural Chunking—0
Compound Embedding Features for Semi-supervised Learning—0
Combining Top-down and Bottom-up Search for Unsupervised Induction of Transduction Grammars—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
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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