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 126–150 of 447 papers

TitleStatusHype
A recurrent connectionist model of melody perception : An exploration using TRACX2—0
Breaking the Token Barrier: Chunking and Convolution for Efficient Long Text Classification with BERT—0
Fast and Accurate Factual Inconsistency Detection Over Long DocumentsCode1
Symmetrical SyncMap for Imbalanced General Chunking Problems—0
Abstractive Summarization of Large Document Collections Using GPT—0
Chunking: Continual Learning is not just about Distribution ShiftCode0
Fine-tuned vs. Prompt-tuned Supervised Representations: Which Better Account for Brain Language Representations?—0
Exploring RWKV for Memory Efficient and Low Latency Streaming ASR—0
One ACT Play: Single Demonstration Behavior Cloning with Action Chunking Transformers—0
Unsupervised Chunking with Hierarchical RNNCode0
RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking—0
Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-RankingCode0
Chunked Lists versus Extensible Arrays for Text Inversion—0
MultiSChuBERT: Effective Multimodal Fusion for Scholarly Document Quality Prediction—0
TBIN: Modeling Long Textual Behavior Data for CTR Prediction—0
Sparse Modular Activation for Efficient Sequence ModelingCode1
Recurrent Attention Networks for Long-text ModelingCode1
Habits of Mind: Reusing Action Sequences for Efficient Planning—0
The ACL OCL Corpus: Advancing Open Science in Computational Linguistics—0
Open Information Extraction via ChunksCode0
A Cognitive Account of the Puzzle of Ideography—0
Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware—0
Tracking by Associating Clips—0
Prompting Language Models for Linguistic Structure—0
Technology Pipeline for Large Scale Cross-Lingual Dubbing of Lecture Videos into Multiple Indian Languages—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