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

Showing 301–350 of 447 papers

TitleStatusHype
The HW-TSC’s Simultaneous Speech Translation System for IWSLT 2022 Evaluation—0
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design—0
The influence of Chunking on Dependency Crossing and Distance—0
The Pitfalls of Imitation Learning when Actions are Continuous—0
To compress or not to compress? A Finite-State approach to Nen verbal morphology—0
Tracking by Associating Clips—0
Transforming trees into hedges and parsing with ``hedgebank'' grammars—0
Transparency and granularity in the SP Theory of Intelligence and its realisation in the SP Computer Model—0
UncertaintyRAG: Span-Level Uncertainty Enhanced Long-Context Modeling for Retrieval-Augmented Generation—0
Un \'etiqueteur en ligne du Fran (An online tagger for French)—0
Unlocking Legal Knowledge with Multi-Layered Embedding-Based Retrieval—0
Un segmenteur-\'etiqueteur et un chunker pour le fran (A Segmenter-POS Labeller and a Chunker for French) [in French]—0
Unsupervised Induction of Linguistic Categories with Records of Reading, Speaking, and Writing—0
Unsupervised Transduction Grammar Induction via Minimum Description Length—0
Use of unsupervised word classes for entity recognition: Application to the detection of disorders in clinical reports—0
USF: Chunking for Aspect-term Identification \& Polarity Classification—0
Using Constraint Grammar for Chunking—0
Using Linguistic Data for English and Spanish Verb-Noun Combination Identification—0
UZH in BioNLP 2013—0
Verb-Particle Constructions in Questions—0
Visual Chunking: A List Prediction Framework for Region-Based Object Detection—0
Weak Semi-Markov CRFs for Noun Phrase Chunking in Informal Text—0
Weak Semi-Markov CRFs for NP Chunking in Informal Text—0
What Information is Helpful for Dependency Based Semantic Role Labeling—0
Word Embeddings through Hellinger PCA—0
XRCE: Hybrid Classification for Aspect-based Sentiment Analysis—0
3D Gaussian Splatting for Large-scale Surface Reconstruction from Aerial Images—0
YADAC: Yet another Dialectal Arabic Corpus—0
A Baseline for Self-state Identification and Classification in Mental Health Data: CLPsych 2025 Task—0
A Boosted Semi-Markov Perceptron—0
A Boosting-based Algorithm for Classification of Semi-Structured Text using the Frequency of Substructures—0
Abstractive Summarization of Large Document Collections Using GPT—0
Accelerating Vision-Language-Action Model Integrated with Action Chunking via Parallel Decoding—0
AccelGen: Heterogeneous SLO-Guaranteed High-Throughput LLM Inference Serving for Diverse Applications—0
A Cognitive Account of the Puzzle of Ideography—0
A Concise Query Language with Search and Transform Operations for Corpora with Multiple Levels of Annotation—0
A Conditional Random Field-based Traditional Chinese Base Phrase Parser for SIGHAN Bake-off 2012 Evaluation—0
A Cost Sensitive Part-of-Speech Tagging: Differentiating Serious Errors from Minor Errors—0
A CRF Method of Identifying Prepositional Phrases in Chinese Patent Texts—0
Action abstractions for amortized sampling—0
ACT-JEPA: Joint-Embedding Predictive Architecture Improves Policy Representation Learning—0
Adapting the TTL Romanian POS Tagger to the Biomedical Domain—0
Adaptive Token Boundaries: Integrating Human Chunking Mechanisms into Multimodal LLMs—0
A Data Efficient End-To-End Spoken Language Understanding Architecture—0
Advanced System Integration: Analyzing OpenAPI Chunking for Retrieval-Augmented Generation—0
TOBUGraph: Knowledge Graph-Based Retrieval for Enhanced LLM Performance Beyond RAG—0
AILS-NTUA at SemEval-2025 Task 4: Parameter-Efficient Unlearning for Large Language Models using Data Chunking—0
A Model of Vietnamese Person Named Entity Question Answering System—0
An Algebra for Feature Extraction—0
Analyzing the Impact of Spelling Errors on POS-Tagging and Chunking in Learner English—0
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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