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Natural Language Processing
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Text Classification
6754 directly classified papers
Papers per year
2000: 1
2001: 1
2002: 1
2003: 3
2004: 1
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2006: 4
2007: 2
2008: 4
2009: 4
2010: 3
2011: 3
2012: 2
2013: 8
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2015: 2
2016: 56
2017: 173
2018: 281
2019: 461
2020: 628
2021: 778
2022: 844
2023: 884
2024: 1050
2025: 1378
2026: 174
Papers
SINAI at SemEval-2019 Task 5: Ensemble learning to detect hate speech against inmigrants and women in English and Spanish tweets
SEMEVAL 2019
Fermi at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media using Sentence Embeddings
SEMEVAL 2019
Hope at SemEval-2019 Task 6: Mining social media language to discover offensive language
SEMEVAL 2019
Nikolov-Radivchev at SemEval-2019 Task 6: Offensive Tweet Classification with BERT and Ensembles
SEMEVAL 2019
NLP@UIOWA at SemEval-2019 Task 6: Classifying the Crass using Multi-windowed CNNs
SEMEVAL 2019
SINAI at SemEval-2019 Task 6: Incorporating lexicon knowledge into SVM learning to identify and categorize offensive language in social media
SEMEVAL 2019
The Titans at SemEval-2019 Task 6: Offensive Language Identification, Categorization and Target Identification
SEMEVAL 2019
TUVD team at SemEval-2019 Task 6: Offense Target Identification
SEMEVAL 2019
UBC-NLP at SemEval-2019 Task 6: Ensemble Learning of Offensive Content With Enhanced Training Data
SEMEVAL 2019
UM-IU@LING at SemEval-2019 Task 6: Identifying Offensive Tweets Using BERT and SVMs
SEMEVAL 2019
UTFPR at SemEval-2019 Task 6: Relying on Compositionality to Find Offense
SEMEVAL 2019
UVA Wahoos at SemEval-2019 Task 6: Hate Speech Identification using Ensemble Machine Learning
SEMEVAL 2019
Zeyad at SemEval-2019 Task 6: That’s Offensive! An All-Out Search For An Ensemble To Identify And Categorize Offense in Tweets.
SEMEVAL 2019
SemEval-2019 Task 4: Hyperpartisan News Detection
SEMEVAL 2019
SolomonLab at SemEval-2019 Task 8: Question Factuality and Answer Veracity Prediction in Community Forums
SEMEVAL 2019
Team Peter-Parker at SemEval-2019 Task 4: BERT-Based Method in Hyperpartisan News Detection
SEMEVAL 2019
Clark Kent at SemEval-2019 Task 4: Stylometric Insights into Hyperpartisan News Detection
SEMEVAL 2019
CAMsterdam at SemEval-2019 Task 6: Neural and graph-based feature extraction for the identification of offensive tweets
SEMEVAL 2019
Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER
IJCNLP 2019
Small and Practical BERT Models for Sequence Labeling
IJCNLP 2019
Shallow Domain Adaptive Embeddings for Sentiment Analysis
IJCNLP 2019
Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation
IJCNLP 2019
In Plain Sight: Media Bias Through the Lens of Factual Reporting
IJCNLP 2019
Spelling-Aware Construction of Macaronic Texts for Teaching Foreign-Language Vocabulary
IJCNLP 2019
IFlyLegal: A Chinese Legal System for Consultation, Law Searching, and Document Analysis
IJCNLP 2019
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