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

Showing 376400 of 447 papers

TitleStatusHype
Learning part-of-speech taggers with inter-annotator agreement loss0
Word Embeddings through Hellinger PCA0
Painless Semi-Supervised Morphological Segmentation using Conditional Random Fields0
Discriminative Lexical Semantic Segmentation with Gaps: Running the MWE Gamut0
Factorial Hidden Markov Models for Learning Representations of Natural Language0
A Quantitative Comparative Study of Prosodic and Discourse Units, the Case of French and Taiwan Mandarin0
Information Compression, Intelligence, Computing, and Mathematics0
Effect of Non-linear Deep Architecture in Sequence Labeling0
Capturing Long-distance Dependencies in Sequence Models: A Case Study of Chinese Part-of-speech Tagging0
Bayesian Induction of Bracketing Inversion Transduction Grammars0
Incremental Segmentation and Decoding Strategies for Simultaneous Translation0
An Online Algorithm for Learning over Constrained Latent Representations using Multiple Views0
Feature-based Neural Language Model and Chinese Word Segmentation0
What Information is Helpful for Dependency Based Semantic Role Labeling0
The AI-KU System at the SPMRL 2013 Shared Task : Unsupervised Features for Dependency ParsingCode0
Malayalam Clause Boundary Identifier: Annotation and Evaluation0
Structured Penalties for Log-Linear Language Models0
Modeling and Learning Semantic Co-Compositionality through Prototype Projections and Neural Networks0
Efficient Higher-Order CRFs for Morphological Tagging0
How Symbolic Learning Can Help Statistical Learning (and vice versa)0
Segmenting vs. Chunking Rules: Unsupervised ITG Induction via Minimum Conditional Description Length0
A Boosting-based Algorithm for Classification of Semi-Structured Text using the Frequency of Substructures0
Entailment: An Effective Metric for Comparing and Evaluating Hierarchical and Non-hierarchical Annotation Schemes0
Unsupervised Transduction Grammar Induction via Minimum Description Length0
Investigation of annotator's behaviour using eye-tracking data0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ACEExact Span F197.3Unverified
2BERT-CRF (Replicated in AdaSeq)Exact Span F197.18Unverified
3ELMo + MAT + Multi-TaskExact Span F197.04Unverified
4CVT+Multi-Task+LargeExact Span F196.98Unverified
5ELMo + Multi-TaskExact Span F196.83Unverified
6FlairExact Span F196.72Unverified
7SeqVATExact Span F195.45Unverified
8Adversarial TrainingExact Span F195.25Unverified
9BiLSTM-CRFExact Span F195.18Unverified
#ModelMetricClaimedVerifiedStatus
1ACEF1 score97.3Unverified
2Flair embeddingsF1 score96.72Unverified
3JMTF1 score95.77Unverified
4Low supervisionF1 score95.57Unverified
5IntNet + BiLSTM-CRFF1 score95.29Unverified
6Suzuki and IsozakiF1 score95.15Unverified
7NCRF++F1 score95.06Unverified
8BI-LSTM-CRF (Senna) (ours)F1 score94.46Unverified
#ModelMetricClaimedVerifiedStatus
1ACEF195Unverified
2Wang et al., 2020F194.4Unverified
3AINF194.04Unverified
#ModelMetricClaimedVerifiedStatus
1Wang et al., 2020F192Unverified
2AINF191.71Unverified
#ModelMetricClaimedVerifiedStatus
1Def2VecAUC93.07Unverified