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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 51–75 of 447 papers

Title	Date	Tasks	Status	Score
NCRF++: An Open-source Neural Sequence Labeling Toolkit	Jun 14, 2018	ChunkingGPU	CodeCode Available	5
LLM-TA: An LLM-Enhanced Thematic Analysis Pipeline for Transcripts from Parents of Children with Congenital Heart Disease	Feb 3, 2025	ChunkingPrompt Engineering	CodeCode Available	5
Large-scale image segmentation based on distributed clustering algorithms	Jun 21, 2021	ChunkingClustering	CodeCode Available	5
Large scale visual place recognition with sub-linear storage growth	Oct 23, 2018	Chunkingfeature selection	CodeCode Available	5
KidneyTalk-open: No-code Deployment of a Private Large Language Model with Medical Documentation-Enhanced Knowledge Database for Kidney Disease	Mar 6, 2025	ChunkingLanguage Modeling	CodeCode Available	5
Keystroke dynamics as signal for shallow syntactic parsing	Oct 11, 2016	CCG SupertaggingChunking	CodeCode Available	5
Language-Agnostic Syllabification with Neural Sequence Labeling	Sep 29, 2019	Chunkingnamed-entity-recognition	CodeCode Available	5
Augmenting Neural Networks with First-order Logic	Jun 14, 2019	ChunkingNatural Language Inference	CodeCode Available	5
Integrating Supertag Features into Neural Discontinuous Constituent Parsing	Oct 11, 2024	ChunkingDependency Parsing	CodeCode Available	5
J2N -- Nominal Adjective Identification and its Application	Sep 22, 2024	Chunkingcoreference-resolution	CodeCode Available	5
Named Entity Recognition in Tweets: An Experimental Study	Jul 1, 2011	Chunkingnamed-entity-recognition	CodeCode Available	5
A Tree Search Algorithm for Sequence Labeling	Apr 29, 2018	ChunkingDecision Making	CodeCode Available	5
Neural Models for Sequence Chunking	Jan 15, 2017	ChunkingNatural Language Understanding	CodeCode Available	5
FlexChunk: Enabling 100M×100M Out-of-Core SpMV (~1.8 min, ~1.7 GB RAM) with Near-Linear Scaling	Apr 5, 2025	ChunkingNature-Inspired Optimization Algorithm	CodeCode Available	5
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks	Nov 5, 2016	ChunkingMulti-Task Learning	CodeCode Available	5
Gated Task Interaction Framework for Multi-task Sequence Tagging	Sep 29, 2019	ChunkingMulti-Task Learning	CodeCode Available	5
AIstorian lets AI be a historian: A KG-powered multi-agent system for accurate biography generation	Mar 14, 2025	Abstractive Text SummarizationChunking	CodeCode Available	5
FLAIR: An Easy-to-Use Framework for State-of-the-Art NLP	Jun 1, 2019	ChunkingNamed Entity Recognition (NER)	CodeCode Available	5
GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling	Jun 6, 2019	ChunkingNamed Entity Recognition (NER)	CodeCode Available	5
Financial Report Chunking for Effective Retrieval Augmented Generation	Feb 5, 2024	Chunkingdocument understanding	CodeCode Available	5
Evaluation of Word Vector Representations by Subspace Alignment	Sep 1, 2015	ChunkingNamed Entity Recognition (NER)	CodeCode Available	5
Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study	Jul 28, 2021	ChunkingInductive Bias	CodeCode Available	5
Experiential Explanations for Reinforcement Learning	Oct 10, 2022	Chunkingcounterfactual	CodeCode Available	5
Fine-Grained Error Analysis and Fair Evaluation of Labeled Spans	Jun 1, 2022	ChunkingNER	CodeCode Available	5
Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-Ranking	Sep 4, 2023	ChunkingMulti-Task Learning	CodeCode Available	5

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All datasets CoNLL-2000 Penn Treebank CoNLL 2003 (German)CoNLL 2003 (English)CoNLL 2003

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ACE	Exact Span F1	97.3	—	Unverified
2	BERT-CRF (Replicated in AdaSeq)	Exact Span F1	97.18	—	Unverified
3	ELMo + MAT + Multi-Task	Exact Span F1	97.04	—	Unverified
4	CVT+Multi-Task+Large	Exact Span F1	96.98	—	Unverified
5	ELMo + Multi-Task	Exact Span F1	96.83	—	Unverified
6	Flair	Exact Span F1	96.72	—	Unverified
7	SeqVAT	Exact Span F1	95.45	—	Unverified
8	Adversarial Training	Exact Span F1	95.25	—	Unverified
9	BiLSTM-CRF	Exact Span F1	95.18	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ACE	F1 score	97.3	—	Unverified
2	Flair embeddings	F1 score	96.72	—	Unverified
3	JMT	F1 score	95.77	—	Unverified
4	Low supervision	F1 score	95.57	—	Unverified
5	IntNet + BiLSTM-CRF	F1 score	95.29	—	Unverified
6	Suzuki and Isozaki	F1 score	95.15	—	Unverified
7	NCRF++	F1 score	95.06	—	Unverified
8	BI-LSTM-CRF (Senna) (ours)	F1 score	94.46	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ACE	F1	95	—	Unverified
2	Wang et al., 2020	F1	94.4	—	Unverified
3	AIN	F1	94.04	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Wang et al., 2020	F1	92	—	Unverified
2	AIN	F1	91.71	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Def2Vec	AUC	93.07	—	Unverified