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 51–100 of 447 papers

TitleStatusHype
Robust Multilingual Part-of-Speech Tagging via Adversarial TrainingCode0
Punctuation Restoration Improves Structure Understanding Without SupervisionCode0
ProveRAG: Provenance-Driven Vulnerability Analysis with Automated Retrieval-Augmented LLMsCode0
Query-Based Keyphrase Extraction from Long DocumentsCode0
Open Information Extraction via ChunksCode0
NNVLP: A Neural Network-Based Vietnamese Language Processing ToolkitCode0
NitiBench: A Comprehensive Studies of LLM Frameworks Capabilities for Thai Legal Question AnsweringCode0
Not All Thoughts are Generated Equal: Efficient LLM Reasoning via Multi-Turn Reinforcement LearningCode0
Opening the black box of language acquisitionCode0
Augmenting Neural Networks with First-order LogicCode0
Neural Models for Sequence ChunkingCode0
Neural Sequence Segmentation as Determining the Leftmost SegmentsCode0
Chunking: Continual Learning is not just about Distribution ShiftCode0
NCRF++: An Open-source Neural Sequence Labeling ToolkitCode0
A Tree Search Algorithm for Sequence LabelingCode0
Natural Language Processing (almost) from ScratchCode0
SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented GenerationCode0
ChuLo: Chunk-Level Key Information Representation for Long Document ProcessingCode0
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP TasksCode0
CUSIDE-array: A Streaming Multi-Channel End-to-End Speech Recognition System with Realistic EvaluationsCode0
AIstorian lets AI be a historian: A KG-powered multi-agent system for accurate biography generationCode0
LLM-TA: An LLM-Enhanced Thematic Analysis Pipeline for Transcripts from Parents of Children with Congenital Heart DiseaseCode0
Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented GenerationCode0
Large scale visual place recognition with sub-linear storage growthCode0
Keystroke dynamics as signal for shallow syntactic parsingCode0
KidneyTalk-open: No-code Deployment of a Private Large Language Model with Medical Documentation-Enhanced Knowledge Database for Kidney DiseaseCode0
Integrating Supertag Features into Neural Discontinuous Constituent ParsingCode0
Building Odia Shallow ParserCode0
GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence LabelingCode0
Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-RankingCode0
J2N -- Nominal Adjective Identification and its ApplicationCode0
CAG: Chunked Augmented Generation for Google Chrome's Built-in Gemini NanoCode0
Fine-Grained Error Analysis and Fair Evaluation of Labeled SpansCode0
Boundary-based MWE segmentation with text partitioningCode0
Language-Agnostic Syllabification with Neural Sequence LabelingCode0
Large-scale image segmentation based on distributed clustering algorithmsCode0
A Feature-Rich Vietnamese Named-Entity Recognition ModelCode0
Financial Report Chunking for Effective Retrieval Augmented GenerationCode0
FLAIR: An Easy-to-Use Framework for State-of-the-Art NLPCode0
Evaluation of Word Vector Representations by Subspace AlignmentCode0
Evaluating Relaxations of Logic for Neural Networks: A Comprehensive StudyCode0
Experiential Explanations for Reinforcement LearningCode0
Does Higher Order LSTM Have Better Accuracy for Segmenting and Labeling Sequence Data?Code0
Does Chinese BERT Encode Word Structure?Code0
Dynamic Chunking and Selection for Reading Comprehension of Ultra-Long Context in Large Language ModelsCode0
FlexChunk: Enabling 100M×100M Out-of-Core SpMV (~1.8 min, ~1.7 GB RAM) with Near-Linear ScalingCode0
BIRA: Improved Predictive Exchange Word ClusteringCode0
Def2Vec: Extensible Word Embeddings from Dictionary DefinitionsCode0
Chunking Historical GermanCode0
CUSIDE: Chunking, Simulating Future Context and Decoding for Streaming ASRCode0
Show:102550
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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