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Methodology
← Learning Types
Machine Learning
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Learning Types
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Semi-Supervised Learning
2986 directly classified papers
Papers per year
2003: 1
2005: 1
2006: 17
2007: 15
2008: 14
2009: 19
2010: 16
2011: 13
2012: 20
2013: 47
2014: 29
2015: 39
2016: 71
2017: 109
2018: 147
2019: 285
2020: 310
2021: 406
2022: 362
2023: 464
2024: 301
2025: 225
2026: 75
Papers
A Practical Dialogue-Act-Driven Conversation Model for Multi-Turn Response Selection
IJCNLP 2019
Multi-Task Stance Detection with Sentiment and Stance Lexicons
IJCNLP 2019
Language Modeling for Code-Switching: Evaluation, Integration of Monolingual Data, and Discriminative Training
IJCNLP 2019
Learning Only from Relevant Keywords and Unlabeled Documents
IJCNLP 2019
A Semi-Supervised Stable Variational Network for Promoting Replier-Consistency in Dialogue Generation
IJCNLP 2019
Semi-Supervised Semantic Role Labeling with Cross-View Training
IJCNLP 2019
Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction
IJCNLP 2019
Transfer Learning Between Related Tasks Using Expected Label Proportions
IJCNLP 2019
Doris Martin at SemEval-2019 Task 4: Hyperpartisan News Detection with Generic Semi-supervised Features
SEMEVAL 2019
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing
AAAI 2019
LabelForest: Non-Parametric Semi-Supervised Learning for Activity Recognition
AAAI 2019
A Two-Stream Mutual Attention Network for Semi-Supervised Biomedical Segmentation with Noisy Labels
AAAI 2019
Unsupervised Learning Helps Supervised Neural Word Segmentation
AAAI 2019
Distribution-Based Semi-Supervised Learning for Activity Recognition
AAAI 2019
NELEC at SemEval-2019 Task 3: Think Twice Before Going Deep
SEMEVAL 2019
Team yeon-zi at SemEval-2019 Task 4: Hyperpartisan News Detection by De-noising Weakly-labeled Data
SEMEVAL 2019
Latent Multi-view Semi-Supervised Classification
ACML 2019
Learning a Unified Named Entity Tagger from Multiple Partially Annotated Corpora for Efficient Adaptation
CONLL 2019
Active Learning via Membership Query Synthesis for Semi-Supervised Sentence Classification
CONLL 2019
DDFlow: Learning Optical Flow with Unlabeled Data Distillation
AAAI 2019
Dual Semi-Supervised Learning for Facial Action Unit Recognition
AAAI 2019
Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification
CVPR 2019
Semi-Supervised Learning for Electron Microscopy Image Segmentation
AAAI 2019
Adaptation of Hierarchical Structured Models for Speech Act Recognition in Asynchronous Conversation
NAACL 2019
A Summarization System for Scientific Documents
EMNLP 2019
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