mlsanityData to 7 Oct 2026

Prompt-based System for Personality and Interpersonal Reactivity Prediction

arXiv 2203.12481 ↗First posted 23 Mar 2022cs.CLcited by 3

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Abstract (arXiv)

This paper describes our proposed method for the Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis (WASSA) 2022 shared task on Personality Prediction (PER) and Reactivity Index Prediction (IRI). In this paper, we adopt the prompt-based learning method with the pre-trained language model to accomplish these tasks. Specifically, the prompt is designed to provide knowledge of the extra personalized information for enhancing the pre-trained model. Data augmentation and model ensemble are adopted for obtaining better results. Moreover, we also provided the online software demonstration and the codes of the software for further research.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 13 of its 31 references that are in the map. First posted on arXiv 23 Mar 2022.

Builds on

13 of 31 references.

References · 13

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1 more
  1. 2018First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysiscited by 14

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Cited by year

Citing papers per year: 2022: 1; 2023: 2.

3 papers.

  1. 2023Controlling Personality Style in Dialogue with Zero-Shot Prompt-Based Learningcited by 14
  2. 2023A Survey of Personality, Persona, and Profile in Conversational Agents and Chatbotscited by 5
  3. 2022On Text-based Personality Computing: Challenges and Future Directionscited by 3