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 276–300 of 447 papers

TitleStatusHype
IKE - An Interactive Tool for Knowledge Extraction—0
Importance Estimation from Multiple Perspectives for Keyphrase Extraction—0
Improving cross-lingual model transfer by chunking—0
Improving Neural Sequence Labelling using Additional Linguistic Information—0
Improving Retrieval for RAG based Question Answering Models on Financial Documents—0
Improving Scalability of Inductive Logic Programming via Pruning and Best-Effort Optimisation—0
Improving Statistical Machine Translation through co-joining parts of verbal constructs in English-Hindi translation—0
Improving the Recall of a Discourse Parser by Constraint-based Postprocessing—0
Incorporating Relational Knowledge into Word Representations using Subspace Regularization—0
Incremental Segmentation and Decoding Strategies for Simultaneous Translation—0
Information Compression, Intelligence, Computing, and Mathematics—0
Information Extraction from German Patient Records via Hybrid Parsing and Relation Extraction Strategies—0
Inspire at SemEval-2016 Task 2: Interpretable Semantic Textual Similarity Alignment based on Answer Set Programming—0
InterACT: Inter-dependency Aware Action Chunking with Hierarchical Attention Transformers for Bimanual Manipulation—0
Introducing the Hidden Neural Markov Chain framework—0
Introduction to Soar—0
Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings—0
Investigating NP-Chunking with Universal Dependencies for English—0
Investigation of annotator's behaviour using eye-tracking data—0
Is Semantic Chunking Worth the Computational Cost?—0
iUBC at SemEval-2016 Task 2: RNNs and LSTMs for interpretable STS—0
Jargon-Term Extraction by Chunking—0
Joint Entity Recognition and Disambiguation—0
Key2Vec: Automatic Ranked Keyphrase Extraction from Scientific Articles using Phrase Embeddings—0
Knowledge Compression via Question Generation: Enhancing Multihop Document Retrieval without Fine-tuning—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