mlsanityData to 14 Oct 2026

NCRF++: An Open-source Neural Sequence Labeling Toolkit

arXiv 1806.05626 ↗First posted 14 Jun 2018cs.CLcited by 29

Not on the map. Why?

Abstract (arXiv)

This paper describes NCRF++, a toolkit for neural sequence labeling. NCRF++ is designed for quick implementation of different neural sequence labeling models with a CRF inference layer. It provides users with an inference for building the custom model structure through configuration file with flexible neural feature design and utilization. Built on PyTorch, the core operations are calculated in batch, making the toolkit efficient with the acceleration of GPU. It also includes the implementations of most state-of-the-art neural sequence labeling models such as LSTM-CRF, facilitating reproducing and refinement on those methods.

Key facts. Cited by 29 papers in the map (data through 14 Oct 2026). First posted on arXiv 14 Jun 2018.

Builds on

No reference list yet.

Built on by

Cited by year

Citing papers per year: 2021: 11; 2022: 10; 2023: 5; 2024: 1; 2025: 2.

29 papers.

Sort:

By area:

  1. 2022Multimodal Masked Autoencoders Learn Transferable Representationscited by 109
  2. 2023DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extractioncited by 37
  3. 2022GreenPLM: Cross-Lingual Transfer of Monolingual Pre-Trained Language Models at Almost No Costcited by 24
  4. 2021The Possible, the Plausible, and the Desirable: Event-Based Modality Detection for Language Processingcited by 13
  5. 2021Capitalization and Punctuation Restoration: a Surveycited by 13
  6. 2022METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweetscited by 12
  7. 2022Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddingscited by 11
  8. 2021A Little Pretraining Goes a Long Way: A Case Study on Dependency Parsing Task for Low-resource Morphologically Rich Languagescited by 9
  9. 2022Computer Science Named Entity Recognition in the Open Research Knowledge Graphcited by 9
  10. 2021Not All Linearizations Are Equally Data-Hungry in Sequence Labeling Parsingcited by 7
  11. 2021Nutri-bullets: Summarizing Health Studies by Composing Segmentscited by 6
  12. 2021Unsupervised Domain Adaptation for Hate Speech Detection Using a Data Augmentation Approachcited by 6
17 more
  1. 2021"Laughing at you or with you": The Role of Sarcasm in Shaping the Disagreement Spacecited by 5
  2. 2022VTCC-NLP at NL4Opt competition subtask 1: An Ensemble Pre-trained language models for Named Entity Recognitioncited by 5
  3. 2021TMR: Evaluating NER Recall on Tough Mentionscited by 4
  4. 2021On the logistical difficulties and findings of Jopara Sentiment Analysiscited by 4
  5. 2023Revisiting Supertagging for Faster HPSG Pasingcited by 4
  6. 2024Neural Sequence-to-Sequence Modeling with Attention by Leveraging Deep Learning Architectures for Enhanced Contextual Understanding in Abstractive Text Summarizationcited by 4
  7. 2021Nutribullets Hybrid: Multi-document Health Summarizationcited by 3
  8. 2021Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Networkcited by 3
  9. 2022YATO: Yet Another deep learning based Text analysis Open toolkitcited by 2
  10. 2023From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense Reasoningcited by 2
  11. 2025LoRA Users Beware: A Few Spurious Tokens Can Manipulate Your Finetuned Modelcited by 2
  12. 2022LMN at SemEval-2022 Task 11: A Transformer-based System for English Named Entity Recognitioncited by 1
  13. 2022Learning the Ordering of Coordinate Compounds and Elaborate Expressions in Hmong, Lahu, and Chinesecited by 0
  14. 2022Application of Data Encryption in Chinese Named Entity Recognitioncited by 0
  15. 2023Samsung R&D Institute Philippines at WMT 2023cited by 0
  16. 2023Explainable History Distillation by Marked Temporal Point Processcited by 0
  17. 2025Nested Named Entity Recognition as Single-Pass Sequence Labelingcited by 0