← Fake News Detection
평가 기록
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| 모델 | 원본 지표·값 | 논문 | 구현 |
|---|---|---|---|
| Sepúlveda-Torres R., Vicente M., Saquete E., Lloret E., Palomar M. (2021) |
|
Exploring Summarization to Enhance Headline Stance Detection 2021-06-20 |
코드 1 |
| ZAINAB A. JAWAD, AHMED J. OBAID (CNN and DNN with SCM, 2022) |
|
Combination Of Convolution Neural Networks And Deep Neural Networks For Fake News Detection 2022-10-15 |
연결 없음 |
| Bhatt et al. |
|
On the Benefit of Combining Neural, Statistical and External Features for Fake News Identification 2017-12-11 |
코드 1 |
| Bi-LSTM (max-pooling, attention) |
|
Combining Similarity Features and Deep Representation Learning for Stance Detection in the Context of Checking Fake News 2018-11-02 |
코드 1 · 코드 2 · 코드 3 |
| 3rd place at FNC-1 - Team UCL Machine Reading (Riedel et al., 2017) |
|
A simple but tough-to-beat baseline for the Fake News Challenge stance detection task 2017-07-11 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 |
| Neural method from Mohtarami et al. + TF-IDF (Mohtarami et al., 2018) |
|
Automatic Stance Detection Using End-to-End Memory Networks 2018-04-20 |
연결 없음 |
| Neural method from Mohtarami et al. (Mohtarami et al., 2018) |
|
Automatic Stance Detection Using End-to-End Memory Networks 2018-04-20 |
연결 없음 |
| Baseline based on skip-thought embeddings (Bhatt et al., 2017) |
|
On the Benefit of Combining Neural, Statistical and External Features for Fake News Identification 2017-12-11 |
코드 1 |
| Baseline based on word2vec + hand-crafted features (Bhatt et al., 2017) |
|
On the Benefit of Combining Neural, Statistical and External Features for Fake News Identification 2017-12-11 |
코드 1 |
| Neural baseline based on bi-directional LSTMs (Bhatt et al., 2017) |
|
On the Benefit of Combining Neural, Statistical and External Features for Fake News Identification 2017-12-11 |
코드 1 |