Personality Profiling of Fictional Characters using Sense-Level Links between Lexical Resources
Code (0)
등록된 구현이 없습니다.
Tasks
Recommendation SystemsText ClassificationSimilar Papers 제목 키워드 기반
Personality Traits Recognition in Literary Texts
Interesting stories often are built around interesting characters. Finding and detailing what makes an interesting character is a real challenge, but certainly a significant cue is the character personality traits. Our e…
BIG-bench Machine LearningMBTI Personality Prediction for Fictional Characters Using Movie Scripts
An NLP model that understands stories should be able to understand the characters in them. To support the development of neural models for this purpose, we construct a benchmark, Story2Personality. The task is to predict…
Predictiontext-classificationText ClassificationEvaluating Character Understanding of Large Language Models via Character Profiling from Fictional Works
Large language models (LLMs) have demonstrated impressive performance and spurred numerous AI applications, in which role-playing agents (RPAs) are particularly popular, especially for fictional characters. The prerequis…
ALOHA: Artificial Learning of Human Attributes for Dialogue Agents
For conversational AI and virtual assistants to communicate with humans in a realistic way, they must exhibit human characteristics such as expression of emotion and personality. Current attempts toward constructing huma…
Community DetectionLanguage ModellingRetrievalRethinking Role-Playing Evaluation: Anonymous Benchmarking and a Systematic Study of Personality Effects
Large Language Models (LLMs) have shown remarkable potential in developing role-playing agents (RPAs). However, current evaluation frameworks rely heavily on well-known fictional characters, raising a critical concern: m…