The next section reviews the related work on stance detection tasks and cross-dataset classification studies. Section 4 describes the Twitter datasets used in this study and Section 5 elaborates on the experimental set up. Section 6 presents the experimental results of the stance classification models...
Multi-dataset learningStance detection (StD) aims to detect an author's stance towards a certain topic and has become a key component in applications like fake news detection, claim validation, or argument search. However, while stance is easily detected by humans, machine learning (ML) models ...
To address this, we introduce a new multimodal multi-turn conversational stance detection dataset (called MmMtCSD). To derive stances from this challenging dataset, we propose a novel multimodal large language model stance detection framework (MLLM-SD), that learns joint stance representations from ...
We present a new challenging stance detection dataset, called Will-They-Won't-They (WT-WT), which contains 51, 284 tweets in English, making it by far the largest available dataset of the type. 2 Paper Code Cross-Domain Label-Adaptive Stance Detection checkstep/mole-stance • • EMNLP...
Multi-dataset stance detection and robustness experiments benchmarkrobustnessmulti-task-learningstance-detectionstancemulti-dataset-learning UpdatedJul 6, 2023 Python GU-DataLab/stance-detection-KE-MLM Star39 Code Issues Pull requests Official resource of the paper "Knowledge Enhanced Masked Language Model ...
The RumourEval 2017 dataset has been used for stance detection in English (subtask A). It features multiple stories and thousands of reply:response pairs, with train, test and evaluation splits each containing a distinct set of over-arching narratives. This dataset subsumes the large PHEME coll...
阅读笔记2020_01观点检测综述:《Stance Detection on Social Media: State of the Art and Trends》 文本特征,如网络和上下文特征情感分析主要运用文本属性。 3、最为常用的数据集上的性能 SemEvalstancedataset 迁移学习结果不如监督学习 4、子任务一:观点预测(数据集) 5、子任务二:观点分类(数据集) 6、几点结论...
上文说到的目前的stance detection任务都是做polarity分类,也就是三种不同的态度极性,而本文提出将文本表达的态度的程度用一种[-1, 1]的连续值表示(针对不同post之间的回应关系),能更好地在实际场景中进行分析。为此,本文还提出了一个新的dataset。 (什么,这么短一段就结束了?我才不会告诉你我在偷懒呢 3. ...
Performance estimation of stance detection method The performance of the proposed IWOASD method has been analyzed on five stance datasets namely, argument reasoning comprehension (ARC) dataset [31], headline and article bodies dataset (FNC-1) [52], claim polarity dataset Research [67], perspectrum...
Data and code accompanying the paper "X-Stance: A Multilingual Multi-Target Dataset for Stance Detection". A high-level description can be found in the blog post, and a more detailed description in the paper. Summary The x-stance dataset contains more than 150 political questions, and 67k ...