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 151–200 of 447 papers

TitleStatusHype
Efficient Higher-Order CRFs for Morphological Tagging—0
Enhance Robustness of Sequence Labelling with Masked Adversarial Training—0
Position-Aware Self-Attention based Neural Sequence Labeling—0
Enhancing Talent Employment Insights Through Feature Extraction with LLM Finetuning—0
Enrichir et raisonner sur des espaces s\'emantiques pour l'attribution de mots-cl\'es (Enriching and reasoning on semantic spaces for keyword extraction) [in French]—0
Entailment: An Effective Metric for Comparing and Evaluating Hierarchical and Non-hierarchical Annotation Schemes—0
EPIC: Efficient Position-Independent Caching for Serving Large Language Models—0
Equipping Transformer with Random-Access Reading for Long-Context Understanding—0
Evaluating distributed word representations for capturing semantics of biomedical concepts—0
Bridging Industrial Expertise and XR with LLM-Powered Conversational Agents—0
Evaluation of Domain-specific Word Embeddings using Knowledge Resources—0
Evaluation of Morphological Embeddings for the Russian Language—0
Building Trainable Taggers in a Web-based, UIMA-Supported NLP Workbench—0
Evolution of diverse (and advanced) cognitive abilities through adaptive fine-tuning of learning and chunking mechanisms—0
ExACT: An End-to-End Autonomous Excavator System Using Action Chunking With Transformers—0
A Retrieval-Augmented Generation Framework for Academic Literature Navigation in Data Science—0
Exploiting Chunk-level Features to Improve Phrase Chunking—0
Exploiting Morphological Regularities in Distributional Word Representations—0
Exploring RWKV for Memory Efficient and Low Latency Streaming ASR—0
Factorial Hidden Markov Models for Learning Representations of Natural Language—0
DTSim at SemEval-2016 Task 1: Semantic Similarity Model Including Multi-Level Alignment and Vector-Based Compositional Semantics—0
BLAZE: Cross-Language and Cross-Project Bug Localization via Dynamic Chunking and Hard Example Learning—0
Fast and Robust Part-of-Speech Tagging Using Dynamic Model Selection—0
Feature-based Neural Language Model and Chinese Word Segmentation—0
Feature-Frequency--Adaptive On-line Training for Fast and Accurate Natural Language Processing—0
CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System—0
Domain Adaptation with Filtering for Named Entity Extraction of Japanese Anime-Related Words—0
Fine-tuned vs. Prompt-tuned Supervised Representations: Which Better Account for Brain Language Representations?—0
BIT-Xiaomi’s System for AutoSimTrans 2022—0
CausalRAG: Integrating Causal Graphs into Retrieval-Augmented Generation—0
Apprentissage automatique d'un chunker pour le fran (Machine Learning of a chunker for French) [in French]—0
Forgetting Exceptions is Harmful in Language Learning—0
From Dionysius Emerges Apollo -- Learning Patterns and Abstractions from Perceptual Sequences—0
From Finite-State to Inversion Transductions: Toward Unsupervised Bilingual Grammar Induction—0
Advanced System Integration: Analyzing OpenAPI Chunking for Retrieval-Augmented Generation—0
From Imitation to Refinement -- Residual RL for Precise Assembly—0
CHORUS: Zero-shot Hierarchical Retrieval and Orchestration for Generating Linear Programming Code—0
Generalization of metric classification algorithms for sequences classification and labelling—0
At a Glance: The Impact of Gaze Aggregation Views on Syntactic Tagging—0
Graph- and surface-level sentence chunking—0
Improving cross-lingual model transfer by chunking—0
Application of Prize based on Sentence Length in Chunk-based Automatic Evaluation of Machine Translation—0
Habits of Mind: Reusing Action Sequences for Efficient Planning—0
Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling—0
Document Chunking and Learning Objective Generation for Instruction Design—0
Hidden Markov tree models for semantic class induction—0
Hierarchical Recurrent Neural Network for Document Modeling—0
Hierarchical Word Structure-based Parsing: A Feasibility Study on UD-style Dependency Parsing in Japanese—0
Hierarchical Working Memory and a New Magic Number—0
A Data Efficient End-To-End Spoken Language Understanding Architecture—0
Show:102550
← PrevPage 4 of 9Next →
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