3260 papers • 126 benchmarks • 313 datasets
Prediction of Persuasion Strategy in Advertisements
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An online persuasion task where one participant was asked to persuade the other to donate to a specific charity and the relationships between individuals’ demographic and psychological backgrounds including personality, morality, value systems, and their willingness for donation were analyzed.
This work proposes a generalised framework for identifying resisting strategies in persuasive conversations and instantiates this framework on two distinct datasets comprising persuasion and negotiation conversations, using a hierarchical sequence-labelling neural architecture to infer the aforementioned resisting strategies automatically.
This work presents CaSiNo: a novel corpus of over a thousand negotiation dialogues in English, inspired by the literature in human-human negotiations, and proposes and evaluates a multi-task framework to recognize strategies in a given utterance.
The StorySeeker toolkit is built, including a richly annotated dataset of 502 Reddit posts and comments, a detailed codebook adapted to the social media context, and models to predict storytelling at the document and span levels.
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