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 301–325 of 447 papers

TitleStatusHype
Language Identification and Named Entity Recognition in Hinglish Code Mixed Tweets—0
La structuration prosodique et les relations syntaxe/ prosodie dans le discours politique (Prosodic Structuring and the Syntax-Prosody Relationship in Political Speech) [in French]—0
Lean Question Answering over Freebase from Scratch—0
Learning Architectures from an Extended Search Space for Language Modeling—0
Learning Better Internal Structure of Words for Sequence Labeling—0
Learning Bimanual Manipulation via Action Chunking and Inter-Arm Coordination with Transformers—0
Learning Distributed Word Representations For Bidirectional LSTM Recurrent Neural Network—0
Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware—0
Learning Hidden Markov Models with Distributed State Representations for Domain Adaptation—0
Learning Lexical Embeddings with Syntactic and Lexicographic Knowledge—0
Learning part-of-speech taggers with inter-annotator agreement loss—0
Learning Structure from the Ground up---Hierarchical Representation Learning by Chunking—0
Learning Succinct Models: Pipelined Compression with L1-Regularization, Hashing, Elias-Fano Indices, and Quantization—0
Learning the Structure of Variable-Order CRFs: a finite-state perspective—0
Learning to Generate Word Representations using Subword Information—0
Learning to lemmatise Polish noun phrases—0
Learning to Predict Distributions of Words Across Domains—0
Leveraging Embedding Techniques in Multimodal Machine Learning for Mental Illness Assessment—0
Leveraging Large Language Models for Web Scraping—0
LID Models are Actually Accent Classifiers: Implications and Solutions for LID on Accented Speech—0
Linear-Time Sequence Classification using Restricted Boltzmann Machines—0
Linguistically-Adapted Structural Query Annotation for Digital Libraries in the Social Sciences—0
Linguistic Knowledge-driven Approach to Chinese Comparative Elements Extraction—0
LLM-Ref: Enhancing Reference Handling in Technical Writing with Large Language Models—0
Locally-Contextual Nonlinear CRFs for Sequence Labeling—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