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 376–400 of 447 papers

TitleStatusHype
Bootstrapping a historical commodities lexicon with SKOS and DBpedia—0
Learning part-of-speech taggers with inter-annotator agreement loss—0
Passive-Aggressive Sequence Labeling with Discriminative Post-Editing for Recognising Person Entities in Tweets—0
Discriminative Lexical Semantic Segmentation with Gaps: Running the MWE Gamut—0
Factorial Hidden Markov Models for Learning Representations of Natural Language—0
A Quantitative Comparative Study of Prosodic and Discourse Units, the Case of French and Taiwan Mandarin—0
Information Compression, Intelligence, Computing, and Mathematics—0
Modeling and Learning Semantic Co-Compositionality through Prototype Projections and Neural Networks—0
Structured Penalties for Log-Linear Language Models—0
Feature-based Neural Language Model and Chinese Word Segmentation—0
Incremental Segmentation and Decoding Strategies for Simultaneous Translation—0
Capturing Long-distance Dependencies in Sequence Models: A Case Study of Chinese Part-of-speech Tagging—0
Effect of Non-linear Deep Architecture in Sequence Labeling—0
The AI-KU System at the SPMRL 2013 Shared Task : Unsupervised Features for Dependency ParsingCode0
An Online Algorithm for Learning over Constrained Latent Representations using Multiple Views—0
What Information is Helpful for Dependency Based Semantic Role Labeling—0
Efficient Higher-Order CRFs for Morphological Tagging—0
Bayesian Induction of Bracketing Inversion Transduction Grammars—0
Malayalam Clause Boundary Identifier: Annotation and Evaluation—0
A Boosting-based Algorithm for Classification of Semi-Structured Text using the Frequency of Substructures—0
How Symbolic Learning Can Help Statistical Learning (and vice versa)—0
Segmenting vs. Chunking Rules: Unsupervised ITG Induction via Minimum Conditional Description Length—0
Crowd Prefers the Middle Path: A New IAA Metric for Crowdsourcing Reveals Turker Biases in Query Segmentation—0
Learning to lemmatise Polish noun phrases—0
GuiTAR-based Pronominal Anaphora Resolution in Bengali—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