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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
From Independent Prediction to Reordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause Identification
AAAI 2019
Generating Character Descriptions for Automatic Summarization of Fiction
AAAI 2019
Get IT Scored Using AutoSAS — An Automated System for Scoring Short Answers
AAAI 2019
Proppy: A System to Unmask Propaganda in Online News
AAAI 2019
On the Role of Syntactic Graph Convolutions for Identifying and Classifying Argument Components
AAAI 2019
Examining Political Trustworthiness through Text-Based Measures of Ideology
AAAI 2019
Simple Construction of Mixed-Language Texts for Vocabulary Learning
ACL 2019
Measuring text readability with machine comprehension: a pilot study
ACL 2019
Stochastic Tokenization with a Language Model for Neural Text Classification
ACL 2019
Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology
ACL 2019
A Just and Comprehensive Strategy for Using NLP to Address Online Abuse
ACL 2019
TakeLab at SemEval-2019 Task 4: Hyperpartisan News Detection
SEMEVAL 2019
DUTH at SemEval-2019 Task 8: Part-Of-Speech Features for Question Classification
SEMEVAL 2019
LaSTUS/TALN at SemEval-2019 Task 6: Identification and Categorization of Offensive Language in Social Media with Attention-based Bi-LSTM model
SEMEVAL 2019
Team Kermit-the-frog at SemEval-2019 Task 4: Bias Detection Through Sentiment Analysis and Simple Linguistic Features
SEMEVAL 2019
Harvey Mudd College at SemEval-2019 Task 4: The Clint Buchanan Hyperpartisan News Detector
SEMEVAL 2019
Vernon-fenwick at SemEval-2019 Task 4: Hyperpartisan News Detection using Lexical and Semantic Features
SEMEVAL 2019
The binary trio at SemEval-2019 Task 5: Multitarget Hate Speech Detection in Tweets
SEMEVAL 2019
Vista.ue at SemEval-2019 Task 5: Single Multilingual Hate Speech Detection Model
SEMEVAL 2019
ConvAI at SemEval-2019 Task 6: Offensive Language Identification and Categorization with Perspective and BERT
SEMEVAL 2019
ABARUAH at SemEval-2019 Task 5 : Bi-directional LSTM for Hate Speech Detection
SEMEVAL 2019
CIC at SemEval-2019 Task 5: Simple Yet Very Efficient Approach to Hate Speech Detection, Aggressive Behavior Detection, and Target Classification in Twitter
SEMEVAL 2019
LT3 at SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter (hatEval)
SEMEVAL 2019
MineriaUNAM at SemEval-2019 Task 5: Detecting Hate Speech in Twitter using Multiple Features in a Combinatorial Framework
SEMEVAL 2019
Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter at SemEval-2019 Task 5: Frequency Analysis Interpolation for Hate in Speech Detection
SEMEVAL 2019
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