Sequence-to-Sequence Language Models for Character and Emotion Detection in Dream Narratives

被引：0
|
作者：
Cortal, Gustave [1 ,2 ]
机构：
[1] Univ Paris Saclay, ENS Paris Saclay, CNRS, LMF, F-91190 Gif Sur Yvette, France
[2] Univ Paris Saclay, CNRS, LISN, F-91400 Orsay, France
来源：
TRAITEMENT AUTOMATIQUE DES LANGUES | 2024年 / 65卷 / 01期
关键词：
Emotion detection; Language model; Quantitative analysis of dreams; SLEEP;
D O I：
暂无
中图分类号：
H0 [语言学];
学科分类号：
030303 ; 0501 ; 050102 ;
摘要：
Analyzing dreams quantitatively depends on labor-intensive, manual annotation of dream narratives. We automate this process through a natural language sequence -to -sequence generation framework. This paper presents the first study on character and emotion detection in the english portion of the open DreamBank corpus of dream narratives. We evaluate the impact of model size, prediction order of characters, and the consideration of proper names and character traits. Our model and its generated annotations are publicly available.
引用
收藏
页码：11 / 35
页数：25
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