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text classification

6776 papers

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Also known as

XMC ATC BIOBERT STC TC ELMO

Co-occurring keywords

large language model (12755) sentiment analysis (2079) transformer model (1988) transfer learning (5442) natural language processing (2027) named entity recognition (2801) hate speech detection (716) social media analysis (699) data augmentation (3037) language model (4573)

Papers

Podlab at SemEval-2019 Task 3: The Importance of Being Shallow SEMEVAL 2019
FERMI at SemEval-2019 Task 5: Using Sentence embeddings to Identify Hate Speech Against Immigrants and Women in Twitter SEMEVAL 2019
Tintin at SemEval-2019 Task 4: Detecting Hyperpartisan News Article with only Simple Tokens SEMEVAL 2019
YNU-HPCC at SemEval-2019 Task 6: Identifying and Categorising Offensive Language on Twitter SEMEVAL 2019
USF at SemEval-2019 Task 6: Offensive Language Detection Using LSTM With Word Embeddings SEMEVAL 2019
Pardeep at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media using Deep Learning SEMEVAL 2019
NIT_Agartala_NLP_Team at SemEval-2019 Task 6: An Ensemble Approach to Identifying and Categorizing Offensive Language in Twitter Social Media Corpora SEMEVAL 2019
JCTICOL at SemEval-2019 Task 6: Classifying Offensive Language in Social Media using Deep Learning Methods, Word/Character N-gram Features, and Preprocessing Methods SEMEVAL 2019
HHU at SemEval-2019 Task 6: Context Does Matter - Tackling Offensive Language Identification and Categorization with ELMo SEMEVAL 2019
Emad at SemEval-2019 Task 6: Offensive Language Identification using Traditional Machine Learning and Deep Learning approaches SEMEVAL 2019
ltl.uni-due at SemEval-2019 Task 5: Simple but Effective Lexico-Semantic Features for Detecting Hate Speech in Twitter SEMEVAL 2019
CiTIUS-COLE at SemEval-2019 Task 5: Combining Linguistic Features to Identify Hate Speech Against Immigrants and Women on Multilingual Tweets SEMEVAL 2019
PKUSE at SemEval-2019 Task 3: Emotion Detection with Emotion-Oriented Neural Attention Network SEMEVAL 2019
KGPChamps at SemEval-2019 Task 3: A deep learning approach to detect emotions in the dialog utterances. SEMEVAL 2019
CECL at SemEval-2019 Task 3: Using Surface Learning for Detecting Emotion in Textual Conversations SEMEVAL 2019
Team Peter-Parker at SemEval-2019 Task 4: BERT-Based Method in Hyperpartisan News Detection SEMEVAL 2019
AUTOHOME-ORCA at SemEval-2019 Task 8: Application of BERT for Fact-Checking in Community Forums SEMEVAL 2019
CAMsterdam at SemEval-2019 Task 6: Neural and graph-based feature extraction for the identification of offensive tweets SEMEVAL 2019
ZQM at SemEval-2019 Task9: A Single Layer CNN Based on Pre-trained Model for Suggestion Mining SEMEVAL 2019
Zoho at SemEval-2019 Task 9: Semi-supervised Domain Adaptation using Tri-training for Suggestion Mining SEMEVAL 2019
YNU_DYX at SemEval-2019 Task 9: A Stacked BiLSTM for Suggestion Mining Classification SEMEVAL 2019
WUT at SemEval-2019 Task 9: Domain-Adversarial Neural Networks for Domain Adaptation in Suggestion Mining SEMEVAL 2019
SSN-SPARKS at SemEval-2019 Task 9: Mining Suggestions from Online Reviews using Deep Learning Techniques on Augmented Data SEMEVAL 2019
Lijunyi at SemEval-2019 Task 9: An attention-based LSTM and ensemble of different models for suggestion mining from online reviews and forums SEMEVAL 2019
DBMS-KU at SemEval-2019 Task 9: Exploring Machine Learning Approaches in Classifying Text as Suggestion or Non-Suggestion SEMEVAL 2019