Papers by Haogang Bao

1 papers
ResPer: Computationally Modelling Resisting Strategies in Persuasive Conversations (2021.eacl-main)

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Challenge: Existing research has failed to account for resisting strategies employed to foil persuasion attempts.
Approach: They propose a framework for identifying resisting strategies in persuasive conversations . they instantiate a dataset comprising persuasion and negotiation conversations based on a hierarchical sequence-labelling neural architecture .
Outcome: The proposed framework is based on two persuasive conversation datasets and leverages a hierarchical sequence-labelling neural architecture to infer resisting strategies automatically.

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