Stance detection with knowledge enhanced bert
Webb14 apr. 2024 · To address this issue, we propose a feature-enhanced single-shot detector (FE-SSD). The proposed method inherits a prior detection module of RON [1] and a feature transfer block of FB-Net [2]. WebbStance Detection This repository is for the paper - Knowledge Enhance Masked Language Model for Stance Detection, NAACL 2024. Code for log-odds-ratio with Dirichlet prior is at log-odds-ratio repository. Data Sets This data sets are for research purposes only - Download Data format is CSV with only 3 columns: "tweet_id","text","label"
Stance detection with knowledge enhanced bert
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Webb8 apr. 2024 · We introduce Wikipedia Stance Detection BERT (WS-BERT) that infuses the knowledge into stance encoding. Extensive results on three benchmark datasets … Webb21 maj 2024 · Download a PDF of the paper titled Stance Detection with BERT Embeddings for Credibility Analysis of Information on Social Media, by Hema Karande and 3 other …
Webb5. Google’s BERT: Bidirectional Encoder Representations (BERT) considers both the left and right sides of a word to determine its context. BERT is capable of multitask-learning and, performing different NLP tasks simultaneously. BERT is the first bidirectional and deep system for unsupervised learning of NLP tasks. Webb13 apr. 2024 · Rumors may bring a negative impact on social life, and compared with pure textual rumors, online rumors with multiple modalities at the same time are more likely to mislead users and spread, so multimodal rumor detection cannot be ignored. Current detection methods for multimodal rumors do not focus on the fusion of text and picture …
WebbSearch ACM Digital Library. Search Search. Advanced Search Webbstance detection. We crawl the Wikipedia pages for the targets and use them as external textual in-formation. To infuse this information into stance detection, we propose Wikipedia Stance Detection BERT (WS-BERT), which integrates the represen-tation of Wikipedia knowledge into that of docu-ments and targets. Depending on the textual style
WebbIn the age of social networks, the number of tweets sent by users has led to a sharp rise in public opinion. Public opinions are closely related to user stances. User stance detection has become an important task in the field of public opinion. However, previous studies have not distinguished between user viewpoints and stances. These studies usually …
WebbDOI: 10.1016/j.ipm.2024.103361 Corpus ID: 257860364; Zero-shot stance detection via multi-perspective contrastive learning with unlabeled data @article{Jiang2024ZeroshotSD, title={Zero-shot stance detection via multi-perspective contrastive learning with unlabeled data}, author={Yan Jiang and Jinhua Gao and Huawei Shen and Xueqi Cheng}, … simon medical imaging broadway denverWebb14 apr. 2024 · Stance detection is of great practical value as an effective tool for Internet public ... we adopt WS-BERT-S and WS-BERT-D which encode Wikipedia knowledge in the single manner and dual ... discriminability. Meanwhile, adversarial learning is applied as a constraint to learn topic-invariance to facilitate enhancing the model’s ... simon medical imaging chandlerWebbMicroblog stance detection aims to determine an author’s stance (for or against) towards a specific topic or claim in a post. It has become a key component in applications like … simon medical imaging scheduling phone numberWebb8 apr. 2024 · Stance detection infers a text author's attitude towards a target. This is challenging when the model lacks background knowledge about the target. Here, we show how background knowledge... simon medical imaging locations phoenix azWebb8 apr. 2024 · Stance detection infers a text author's attitude towards a target. This is challenging when the model lacks background knowledge about the target. Here, we show how background knowledge from Wikipedia can help enhance the … simon medical imaging locations orlandoWebb6 okt. 2024 · Therefore, in this paper, we propose two claim stance detection models, one is text-transformers based on efficient ensemble learning method, and the other is … simon medical imaging goodyear azWebb14 apr. 2024 · Compared with news content-based methods that can merely capture limited credibility clues from news content, our INRM provides more effective clues for fake news detection by mining inter-news relations. Auxiliary knowledge-based methods are learned from auxiliary relevant sources for capturing valuable clues. simon medical imaging greenfield