About

Benchmarks

No evaluation results yet. Help compare methods by submit evaluation metrics.

Subtasks

Greatest papers with code

Cost-Sensitive BERT for Generalisable Sentence Classification with Imbalanced Data

16 Mar 2020H-TayyarMadabushi/Cost-Sensitive_Bert_and_Transformers

The automatic identification of propaganda has gained significance in recent years due to technological and social changes in the way news is generated and consumed.

DATA AUGMENTATION PROPAGANDA DETECTION SENTENCE CLASSIFICATION SENTIMENT ANALYSIS

YNU-HPCC at SemEval-2020 Task 11: LSTM Network for Detection of Propaganda Techniques in News Articles

24 Aug 2020daojiaxu/semeval_11

This paper also compares the performances of different deep learning model architectures, such as the Bi-LSTM, LSTM, BERT, and XGBoost models, on the detection of news promotion techniques.

PROPAGANDA DETECTION

Towards Detection of Subjective Bias using Contextualized Word Embeddings

16 Feb 2020tanvidadu/Subjective-Bias-Detection

Subjective bias detection is critical for applications like propaganda detection, content recommendation, sentiment analysis, and bias neutralization.

BIAS DETECTION PROPAGANDA DETECTION SENTIMENT ANALYSIS WORD EMBEDDINGS