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Greatest papers with code

A Retrospective Analysis of the Fake News Challenge Stance Detection Task

13 Jun 2018hanselowski/athene_system

To date, there is no in-depth analysis paper to critically discuss FNC-1's experimental setup, reproduce the results, and draw conclusions for next-generation stance classification methods.

STANCE CLASSIFICATION STANCE DETECTION

A Retrospective Analysis of the Fake News Challenge Stance-Detection Task

COLING 2018 UKPLab/coling2018_fake-news-challenge

To date, there is no in-depth analysis paper to critically discuss FNC-1{'}s experimental setup, reproduce the results, and draw conclusions for next-generation stance classification methods.

STANCE CLASSIFICATION STANCE DETECTION

Cross-Target Stance Classification with Self-Attention Networks

ACL 2018 nuaaxc/cross_target_stance_classification

In stance classification, the target on which the stance is made defines the boundary of the task, and a classifier is usually trained for prediction on the same target.

STANCE CLASSIFICATION

Embeddings-Based Clustering for Target Specific Stances: The Case of a Polarized Turkey

19 May 2020AmmarRashed/UnsupervisedStanceDetection

On June 24, 2018, Turkey conducted a highly consequential election in which the Turkish people elected their president and parliament in the first election under a new presidential system.

STANCE CLASSIFICATION STANCE DETECTION

BUT-FIT at SemEval-2019 Task 7: Determining the Rumour Stance with Pre-Trained Deep Bidirectional Transformers

SEMEVAL 2019 MFajcik/RumourEval2019

This paper describes our system submitted to SemEval 2019 Task 7: RumourEval 2019: Determining Rumour Veracity and Support for Rumours, Subtask A (Gorrell et al., 2019).

RUMOUR DETECTION STANCE CLASSIFICATION

Stance Prediction for Russian: Data and Analysis

5 Sep 2018npenzin/rustance

As well as presenting this openly-available dataset, the first of its kind for Russian, the paper presents a baseline for stance prediction in the language.

STANCE CLASSIFICATION STANCE DETECTION

Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTM

SEMEVAL 2017 seongjinpark-88/RumorEval2019

This paper describes team Turing's submission to SemEval 2017 RumourEval: Determining rumour veracity and support for rumours (SemEval 2017 Task 8, Subtask A).

RUMOUR DETECTION STANCE CLASSIFICATION STANCE DETECTION

Stance Classification for Rumour Analysis in Twitter: Exploiting Affective Information and Conversation Structure

7 Jan 2019dadangewp/SemEval2017-RumourEval

On this line, a new shared task has been proposed at SemEval-2017 (Task 8, SubTask A), which is focused on rumour stance classification in English tweets.

MISINFORMATION RUMOUR DETECTION STANCE CLASSIFICATION