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 176–200 of 447 papers

Title	Date	Tasks	Status	Hype
Learning Structure from the Ground up---Hierarchical Representation Learning by Chunking	Sep 29, 2021	ChunkingRepresentation Learning	—Unverified	0
Paradigm Shift in Natural Language Processing	Sep 26, 2021	ChunkingNER	CodeCode Available	1
Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study	Jul 28, 2021	ChunkingInductive Bias	CodeCode Available	0
Large-scale image segmentation based on distributed clustering algorithms	Jun 21, 2021	ChunkingClustering	CodeCode Available	0
Neural Supervised Domain Adaptation by Augmenting Pre-trained Models with Random Units	Jun 9, 2021	ChunkingDomain Adaptation	—Unverified	0
Weighted Training for Cross-Task Learning	May 28, 2021	Chunkingnamed-entity-recognition	CodeCode Available	0
Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning	May 8, 2021	Chinese Named Entity RecognitionChunking	CodeCode Available	1
Chunking Historical German	May 1, 2021	ChunkingPOS	CodeCode Available	0
Neural Sequence Segmentation as Determining the Leftmost Segments	Apr 15, 2021	ChunkingPart-Of-Speech Tagging	CodeCode Available	0
On the Hidden Negative Transfer in Sequential Transfer Learning for Domain Adaptation from News to Tweets	Apr 1, 2021	ChunkingDomain Adaptation	—Unverified	0
Locally-Contextual Nonlinear CRFs for Sequence Labeling	Mar 30, 2021	Chunkingnamed-entity-recognition	—Unverified	0
Evaluation of Morphological Embeddings for the Russian Language	Mar 11, 2021	ChunkingNER	—Unverified	0
Introducing the Hidden Neural Markov Chain framework	Feb 17, 2021	Chunkingnamed-entity-recognition	—Unverified	0
Highly Fast Text Segmentation With Pairwise Markov Chains	Feb 17, 2021	Chunkingnamed-entity-recognition	—Unverified	0
Unsupervised Technical Domain Terms Extraction using Term Extractor	Jan 22, 2021	ChunkingTask 2	CodeCode Available	1
Segmenting Natural Language Sentences via Lexical Unit Analysis	Dec 10, 2020	Chinese Word SegmentationChunking	—Unverified	0
A Survey on Recent Advances in Sequence Labeling from Deep Learning Models	Nov 13, 2020	ChunkingGraph Embedding	—Unverified	0
Enhance Robustness of Sequence Labelling with Masked Adversarial Training	Nov 1, 2020	Chunkingnamed-entity-recognition	—Unverified	0
Does Chinese BERT Encode Word Structure?	Oct 15, 2020	ChunkingNatural Language Inference	CodeCode Available	0
Automated Concatenation of Embeddings for Structured Prediction	Oct 10, 2020	Aspect ExtractionChunking	CodeCode Available	1
Dissecting Span Identification Tasks with Performance Prediction	Oct 6, 2020	ChunkingNER	—Unverified	0
More Embeddings, Better Sequence Labelers?	Sep 17, 2020	ChunkingWord Embeddings	—Unverified	0
AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network	Sep 17, 2020	ChunkingVariational Inference	CodeCode Available	1
Transparency and granularity in the SP Theory of Intelligence and its realisation in the SP Computer Model	Sep 7, 2020	Chunking	—Unverified	0
To compress or not to compress? A Finite-State approach to Nen verbal morphology	Jul 1, 2020	Chunking	—Unverified	0

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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