Papers with Code 아카이브

Stance Detection

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하위 태스크: 4
평가표: 22
보존된 평가 기록: 28

Stance detection is the extraction of a subject's reaction to a claim made by a primary actor. It is a core part of a set of approaches to fake news assessment.

Example:

Source: "Apples are the most delicious fruit in existence"
Reply: "Obviously not, because that is a reuben from Katz's"
Stance: deny

논문

이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.

Automatic Stance Detection Using End-to-End Memory Networks

360° Stance Detection

Stance Detection on Tweets: An SVM-based Approach

Sentiment Analysis of Code-Mixed Indian Languages: An Overview of SAIL_Code-Mixed Shared Task @ICON-2017

Topical Stance Detection for Twitter: A Two-Phase LSTM Model Using Attention

On the Benefit of Combining Neural, Statistical and External Features for Fake News Identification

Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best-Worst Scaling

Joint Named Entity Recognition and Stance Detection in Tweets

A simple but tough-to-beat baseline for the Fake News Challenge stance detection task

Stance Detection in Turkish Tweets

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

Performing Stance Detection on Twitter Data using Computational Linguistics Techniques

Friends and Enemies of Clinton and Trump: Using Context for Detecting Stance in Political Tweets

Stance detection in online discussions

Stance Detection with Bidirectional Conditional Encoding

MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detection

Stance and Sentiment in Tweets

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