Stance detection and summarization
WebbA study into the feasibility of using current stance detection approaches to assist users in their web search on debated topics and investigates the quality of stance detection … WebbIn search of better science: on the epistemic costs of systematic reviews and the need for a pluralistic stance to literature search; Caire-covid: A question answering and multi-document summarization system for covid-19 research; Cross-modal Image Retrieval with Deep Mutual Information Maximization; Block-based image matching for image retrieval
Stance detection and summarization
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Webb9 maj 2008 · Abstract: The target of surveillance summarization is to identify high-value information events in a video stream and to present it to a user. In this paper we present surveillance summarization approach using detection and clustering of important events. Assuming that events are main source of energy change between consecutive frames … WebbA study into the feasibility of using current stance detection approaches to assist users in their web search on debated topics and investigates the quality of stance detection explanations created using different explainability methods and explanation visualization techniques. 1 PDF View 1 excerpt, cites methods
WebbThe system was originally created for the SemEval 2016 task: Detecting stance in tweets [5]. The task had two independent subtasks – supervised and weakly super-vised. The … WebbR. Sepúlveda-Torres, M. Vicente, E. Saquete et al. Web Semantics: Science, Services and Agents on the World Wide Web 71 (2024) 100660 debunkingproject).FNC-1aimstocompileagoldstandard
WebbThis project involved designing a deep learning algorithm based on LSTM networks for stance detection as the first step to combat fake news problem. The model used two LSTM encoders, a simple encoder to encode headline and a hierarchical LSTM network encoder to encode text, and used a feed forward neural network to compare the … Webb• Definitions of stance detection, multi-target stance detec-tion, cross-target stance detection, rumour stance classi-fication, and fake news stance detection. • …
Webb1 jan. 2015 · Sobhani et al. [67] are pioneers in stance classification from the NLP perspective; they proposed a framework for stance classification at the document level based on topic modeling...
Webb20 juni 2024 · In this paper, we study methods to generate a stance-aware summary that explains a given controversy by collecting arguments of two conflicting stances. We focus on Twitter and treat stance summarization as a ranking problem of finding the top k tweets that best summarize the two conflicting stances of a controversial topic. feliz páscoa amor tumblrWebbför 2 dagar sedan · P-Stance: A Large Dataset for Stance Detection in Political Domain. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2024, pages … feliz plotlyWebbThis paper analyses the use of automatic news summaries to determine the stance (i.e., position) of a headline with respect to the body of text associated with it. To this end, … feliz páscoa evangélica 2022http://nlp.csai.tsinghua.edu.cn/documents/226/LEVEN_A_Large-Scale_Chinese_Legal_Event_Detection_Dataset.pdf hotel sapphire bakurianiWebbrejection of VHFs is more difficult than detecting acceptance. Improvements in stance recognition for the STANCEID system are driven by results for the Reject stance. The Reject stance has the fewest number of [tweet, VHF] pairs, with only 2,327 instances in a dataset of 14,180 [tweet, VHF] pairs. The STANCEID system overcomes this resource con- feliz páscoa evangélicahttp://repository.bilkent.edu.tr/bitstream/handle/11693/77159/Stance_detection_concepts%2c_approaches%2c_resources%2c_and_outstanding_issues.pdf?sequence=1 hotel saptarshi bankuraWebb26 mars 2024 · Stance 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 … feliz pharma