BriefGPT.xyz
May, 2023
NormMark:一种弱监督马尔可夫模型用于发现社会文化规范
NormMark: A Weakly Supervised Markov Model for Socio-cultural Norm Discovery
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Farhad Moghimifar, Shilin Qu, Tongtong Wu, Yuan-Fang Li, Gholamreza Haffari
TL;DR
本文提出了NormMark,一种基于概率生成的马尔可夫模型,通过离散和连续的隐变量去捕获会话历史中的特征,提高规范识别的能力。在弱批注数据集上,本方法的F1分数更高,超过了当前最先进的方法,包括GPT3。
Abstract
norms
, which are culturally accepted guidelines for behaviours, can be integrated into
conversational models
to generate utterances that are appropriate for the socio-cultural context. Existing methods for
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