Stance Classification
24 papers with code • 1 benchmarks • 8 datasets
Benchmarks
These leaderboards are used to track progress in Stance Classification
| Trend | Dataset | Best Model | Paper | Code | Compare |
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CoVaxLies v2
Most implemented papers
STANCY: Stance Classification Based on Consistency Cues
kashpop/stancy
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IJCNLP 2019
Controversial claims are abundant in online media and discussion forums.
Embeddings-Based Clustering for Target Specific Stances: The Case of a Polarized Turkey
AmmarRashed/UnsupervisedStanceDetection
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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.
Opinions are Made to be Changed: Temporally Adaptive Stance Classification
We propose a novel approach to mitigate this performance drop, which is based on temporal adaptation of the word embeddings used for training the stance classifier.
Tribrid: Stance Classification with Neural Inconsistency Detection
karmaresearch/tribrid
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EMNLP 2021
In the second case, we show that using the confidence scores to remove doubtful predictions allows our method to achieve human-like performance over the retained information, which is still a sizable part of the original input.
IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks
Traditionally, a debate usually requires a manual preparation process, including reading plenty of articles, selecting the claims, identifying the stances of the claims, seeking the evidence for the claims, etc.
AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach
In this work, we for the first time propose a challenging argument quadruplet extraction task (AQE), which can provide an all-in-one extraction of four argumentative components, i. e., claims, evidence, evidence types, and stances.
TILFA: A Unified Framework for Text, Image, and Layout Fusion in Argument Mining
A main goal of Argument Mining (AM) is to analyze an author's stance.
Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining
This paper presents an overview of the ImageArg shared task, the first multimodal Argument Mining shared task co-located with the 10th Workshop on Argument Mining at EMNLP 2023.
Multilingual Coarse Political Stance Classification of Media. The Editorial Line of a ChatGPT and Bard Newspaper
Traditional media typically adopt an editorial line that can be used by their potential readers as an indicator of the media bias.
Rumour Evaluation with Very Large Language Models
To the end, we employ two prompting-based LLM variants (GPT-3. 5-turbo and GPT-4) to extend the two RumourEval subtasks: (1) veracity prediction, and (2) stance classification.
