BNS-Net: A Dual-channel Sarcasm Detection Method Considering Behavior-level and Sentence-level Conflicts. Sarcasm detection is a binary classification task that aims to determine whether a given utterance is sarcastic.
Sep 7, 2023
Sep 12, 2024 · In this paper, a model that attempts to integrate ego psychology, drive-conflict theory, somatic psychology, object relations, and self- ...
The analysis and evaluation of experimental results demonstrate that the BNS-Net effectively identifies sarcasm in text and achieves the state-of-the-art ...
BNS-Net: A Dual-channel Sarcasm Detection Method Considering Behavior-level and Sentence-level Conflicts ... Sarcasm detection is a binary classification task ...
Sep 7, 2023 · To address the above problems, we propose a sarcasm detection model called BNS-Net, the model contains two channels: behavior-level con- flict ...
BNS-Net: A Dual-Channel Sarcasm Detection Method Considering Behavior-Level and Sentence-Level Conflicts. Conference Paper. Jun 2024. View · Prompt Tuning with ...
BNS-Net: A Dual-channel Sarcasm Detection Method Considering Behavior-level and Sentence-level Conflicts. Liming Zhou, Xiaowei Xu, Xiaodong Wang. Sep 07 2023.
The model considers behavior and sentence conflicts in two channels. Channel 1: Behavior-level Conflict Channel reconstructs the text based on core verbs while ...
Sep 17, 2021 · BNS-Net: A Dual-channel Sarcasm Detection Method Considering Behavior-level and Sentence-level Conflicts · An Evaluation of State-of-the-Art ...
The model considers behavior and sentence conflicts in two channels. Channel 1: Behavior-level Conflict Channel reconstructs the text based on core verbs while ...