How Well Can Language Models Understand Politeness?

Author:

Li Can1,Pang Bin1,Wang Wenbo1,Hu Lingshu2,Gordon Matthew3,Marinova Detelina4,Balducci Bitty5,Shang Yi1

Affiliation:

1. University of Missouri,Department of Electrical Engr. & Comp. Science,Columbia,MO,USA

2. Washington and Lee University,Department of Business Administration,Lexington,VA,USA

3. University of Missouri,Department of English,Columbia,MO,USA

4. University of Missouri,Robert J. Trulaske, Sr. College of Business,Columbia,MO,USA

5. Washington State University,Carson College of Business,Pullman,WA,USA

Publisher

IEEE

Reference14 articles.

1. Deep Formality: Sentence Formality Prediction with Deep Learning;li;2022 IEEE 23rd International Conference on Information Reuse and Integration for Data Science (IRI),2022

2. Convokit: A toolkit for the analysis of conversations;chang,2020

3. Performance Evaluation of Text Augmentation Methods with BERT on Small-sized, Imbalanced Datasets

4. Predicting Conversation Outcomes Using Multimodal Transformer

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1. Computational Politeness in Natural Language Processing: A Survey;ACM Computing Surveys;2024-05-08

2. Mobilization, self-expression or argument? A computational method for identifying language styles in political discussion on Twitter;Online Information Review;2024-01-22

3. KGPR: Knowledge Graph Enhanced Passage Ranking;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

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