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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 35 / No. 16: AAAI-21 Technical Tracks 16

Multi-Document Transformer for Personality Detection

February 1, 2023

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Authors

Feifan Yang

Sun Yat-sen University


Xiaojun Quan

Sun Yat-sen University


Yunyi Yang

Sun Yat-sen University


Jianxing Yu

Sun Yat-sen University


DOI:

10.1609/aaai.v35i16.17673


Abstract:

Personality detection aims to identify the personality traits implied in social media posts. The core of this task is to put together information in multiple scattered posts to depict an overall personality profile for each user. Existing approaches either encode each post individually or assemble posts arbitrarily into a new document that can be encoded sequentially or hierarchically. While the first approach ignores the connection between posts, the second tends to introduce unnecessary post-order bias into posts. In this paper, we propose a multi-document Transformer, namely Transformer-MD, to tackle the above issues. When encoding each post, Transformer-MD allows access to information in the other posts of the user through Transformer-XL’s memory tokens which share the same position embedding.Besides, personality is usually defined along different traits and each trait may need to attend to different post information, which has rarely been touched by existing research. To address this concern, we propose a dimension attention mechanism on top of Transformer-MD to obtain trait-specific representations for multi-trait personality detection. We evaluate the proposed model on the Kaggle and Pandora MBTI datasets and the experimental results show that it compares favorably with baseline methods.

Topics: AAAI

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HOW TO CITE:

Feifan Yang||Xiaojun Quan||Yunyi Yang||Jianxing Yu Multi-Document Transformer for Personality Detection Proceedings of the AAAI Conference on Artificial Intelligence (2021) 14221-14229.

Feifan Yang||Xiaojun Quan||Yunyi Yang||Jianxing Yu Multi-Document Transformer for Personality Detection AAAI 2021, 14221-14229.

Feifan Yang||Xiaojun Quan||Yunyi Yang||Jianxing Yu (2021). Multi-Document Transformer for Personality Detection. Proceedings of the AAAI Conference on Artificial Intelligence, 14221-14229.

Feifan Yang||Xiaojun Quan||Yunyi Yang||Jianxing Yu. Multi-Document Transformer for Personality Detection. Proceedings of the AAAI Conference on Artificial Intelligence 2021 p.14221-14229.

Feifan Yang||Xiaojun Quan||Yunyi Yang||Jianxing Yu. 2021. Multi-Document Transformer for Personality Detection. "Proceedings of the AAAI Conference on Artificial Intelligence". 14221-14229.

Feifan Yang||Xiaojun Quan||Yunyi Yang||Jianxing Yu. (2021) "Multi-Document Transformer for Personality Detection", Proceedings of the AAAI Conference on Artificial Intelligence, p.14221-14229

Feifan Yang||Xiaojun Quan||Yunyi Yang||Jianxing Yu, "Multi-Document Transformer for Personality Detection", AAAI, p.14221-14229, 2021.

Feifan Yang||Xiaojun Quan||Yunyi Yang||Jianxing Yu. "Multi-Document Transformer for Personality Detection". Proceedings of the AAAI Conference on Artificial Intelligence, 2021, p.14221-14229.

Feifan Yang||Xiaojun Quan||Yunyi Yang||Jianxing Yu. "Multi-Document Transformer for Personality Detection". Proceedings of the AAAI Conference on Artificial Intelligence, (2021): 14221-14229.

Feifan Yang||Xiaojun Quan||Yunyi Yang||Jianxing Yu. Multi-Document Transformer for Personality Detection. AAAI[Internet]. 2021[cited 2023]; 14221-14229.


ISSN: 2374-3468


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