Stance detection with knowledge enhanced bert
Webb1 jan. 2024 · In this paper, we propose a novel BERT-based fine-tuning method that enhances the masked language model for stance detection. Instead of random token masking, we propose using a weighted log-odds ... Webb23 mars 2024 · Target-adaptive Graph for Cross-target Stance Detection. In WWW ’21: The Web Conference 2024, Virtual Event / Ljubljana, Slovenia, April 19-23. 3453–3464. Google Scholar; Rui Liu, Zheng Lin, Yutong Tan, and Weiping Wang. 2024. Enhancing zero-shot and few-shot stance detection with commonsense knowledge graph.
Stance detection with knowledge enhanced bert
Did you know?
Webb10 sep. 2024 · Stance detection is one of the key tasks in the understanding of political discourse. However, existing methods are dominated by supervised techniques, which … Webb5 juni 2024 · In this paper, a knowledge-enhanced BERT model for Microblog stance detection is proposed. In this model, the triples in knowledge graphs are used as domain …
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 … Webb14 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 ...
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 … Webbför 2 dagar sedan · 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 …
Webb19 nov. 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...
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]. scotland tours from edinburgh tripadvisorWebb2 dec. 2016 · In this paper, a knowledge-enhanced BERT model for Microblog stance detection is proposed. In this model, the triples in knowledge graphs are used as domain knowledge injected into the sentences. scotland tours by localsWebbstance 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 premier inn near bricket woodWebb6 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 through knowledge-enhanced text-transformers model without introducing additional data. The rest of the paper is organized as follows: Sect. 2 introduces the dataset of this task. scotland tours in late october 2018WebbStance detection is a basic study of text opinion mining, which usually has two key inputs: (1) a target and (2) a post or comment made by an author. Given two inputs, the purpose of stance detection is to analyze the stance tendency such as “favor, against or neutral” towards specific targets expressed in the text. scotland tour scotch distilleryWebb5. 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. scotland tours from edinburgh viatorWebbKnowledge Enhanced Target-Aware Stance Detection on Tweets Xin Zhang 1,JianhuaYuan, Yanyan Zhao , and Bing Qin1,2(B) ... • We provide a simple way to fuse knowledge from multiple external knowledge bases and outperform the BERT model by a large margin, especially on cases where targets are not explicitly mentioned in texts. 2 Related Work scotland tours including military tattoo