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Methodology
← Learning Types
Machine Learning
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Learning Types
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Supervised Learning
988 directly classified papers
Papers per year
2001: 3
2003: 5
2004: 5
2005: 1
2006: 19
2007: 20
2008: 10
2009: 10
2010: 16
2011: 18
2012: 29
2013: 32
2014: 29
2015: 21
2016: 25
2017: 67
2018: 45
2019: 40
2020: 75
2021: 98
2022: 83
2023: 86
2024: 131
2025: 120
Papers
DNN-Based Feature Extraction and Classifier Combination for Child-Directed Speech, Cold and Snoring Identification
INTERSPEECH 2017
Identifying Humor in Reviews using Background Text Sources
EMNLP 2017
What is it? Disambiguating the different readings of the pronoun ‘it’
EMNLP 2017
Finding Patterns in Noisy Crowds: Regression-based Annotation Aggregation for Crowdsourced Data
EMNLP 2017
Controlling Human Perception of Basic User Traits
EMNLP 2017
SentiHeros at SemEval-2017 Task 5: An application of Sentiment Analysis on Financial Tweets
SEMEVAL 2017
UW-FinSent at SemEval-2017 Task 5: Sentiment Analysis on Financial News Headlines using Training Dataset Augmentation
SEMEVAL 2017
INF-UFRGS at SemEval-2017 Task 5: A Supervised Identification of Sentiment Score in Tweets and Headlines
SEMEVAL 2017
ECNU at SemEval-2017 Task 4: Evaluating Effective Features on Machine Learning Methods for Twitter Message Polarity Classification
SEMEVAL 2017
LSIS at SemEval-2017 Task 4: Using Adapted Sentiment Similarity Seed Words For English and Arabic Tweet Polarity Classification
SEMEVAL 2017
UWaterloo at SemEval-2017 Task 8: Detecting Stance towards Rumours with Topic Independent Features
SEMEVAL 2017
Fermi at SemEval-2017 Task 7: Detection and Interpretation of Homographic puns in English Language
SEMEVAL 2017
TakeLab at SemEval-2017 Task 6: #RankingHumorIn4Pages
SEMEVAL 2017
Duluth at SemEval-2017 Task 6: Language Models in Humor Detection
SEMEVAL 2017
Tw-StAR at SemEval-2017 Task 4: Sentiment Classification of Arabic Tweets
SEMEVAL 2017
IITP at SemEval-2017 Task 8 : A Supervised Approach for Rumour Evaluation
SEMEVAL 2017
NMT or SMT: Case Study of a Narrow-domain English-Latvian Post-editing Project
IJCNLP 2017
Demographic Word Embeddings for Racism Detection on Twitter
IJCNLP 2017
NTOUA at IJCNLP-2017 Task 2: Predicting Sentiment Scores of Chinese Words and Phrases
IJCNLP 2017
CYUT at IJCNLP-2017 Task 3: System Report for Review Opinion Diversification
IJCNLP 2017
Differential Geometric Regularization for Supervised Learning of Classifiers
ICML 2016
The Teaching Dimension of Linear Learners
JMLR 2016
Incremental Fine-grained Information Status Classification Using Attention-based LSTMs
COLING 2016
Predicting the Evocation Relation between Lexicalized Concepts
COLING 2016
Large-scale Multi-class and Hierarchical Product Categorization for an E-commerce Giant
COLING 2016
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