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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
2005: 2
2006: 4
2007: 2
2008: 4
2009: 4
2010: 3
2011: 3
2012: 2
2013: 8
2014: 6
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
Document Informed Neural Autoregressive Topic Models with Distributional Prior
AAAI 2019
Predicting and Analyzing Language Specificity in Social Media Posts
AAAI 2019
Antonym-Synonym Classification Based on New Sub-Space Embeddings
AAAI 2019
Violence Rating Prediction from Movie Scripts
AAAI 2019
AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification
NIPS 2019
Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party Computation
NIPS 2019
Inject Rubrics into Short Answer Grading System
EMNLP 2019
Complaint Analysis and Classification for Economic and Food Safety
EMNLP 2019
Adapting Deep Learning Methods for Mental Health Prediction on Social Media
EMNLP 2019
Discovering the Functions of Language in Online Forums
EMNLP 2019
Extending Event Detection to New Types with Learning from Keywords
EMNLP 2019
Automatic identification of writers’ intentions: Comparing different methods for predicting relationship goals in online dating profile texts
EMNLP 2019
Do Sentence Interactions Matter? Leveraging Sentence Level Representations for Fake News Classification
EMNLP 2019
Findings of the NLP4IF-2019 Shared Task on Fine-Grained Propaganda Detection
EMNLP 2019
NSIT@NLP4IF-2019: Propaganda Detection from News Articles using Transfer Learning
EMNLP 2019
Pretrained Ensemble Learning for Fine-Grained Propaganda Detection
EMNLP 2019
Detection of Propaganda Using Logistic Regression
EMNLP 2019
Divisive Language and Propaganda Detection using Multi-head Attention Transformers with Deep Learning BERT-based Language Models for Binary Classification
EMNLP 2019
Fine-Tuned Neural Models for Propaganda Detection at the Sentence and Fragment levels
EMNLP 2019
Fine-Grained Propaganda Detection with Fine-Tuned BERT
EMNLP 2019
Detecting context abusiveness using hierarchical deep learning
EMNLP 2019
Dilated LSTM with attention for Classification of Suicide Notes
EMNLP 2019
Extracting relevant information from physician-patient dialogues for automated clinical note taking
EMNLP 2019
STANCY: Stance Classification Based on Consistency Cues
EMNLP 2019
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
EMNLP 2019
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