Papers by Ruijia Cheng
An Exploration of Post-Editing Effectiveness in Text Summarization (2022.naacl-main)
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Vivian Lai, Alison Smith-Renner, Ke Zhang, Ruijia Cheng, Wenjuan Zhang, Joel Tetreault, Alejandro Jaimes-Larrarte
| Challenge: | Automated summarization methods are efficient but can suffer from low quality. |
| Approach: | They conducted an experiment with 72 participants to compare post-editing provided summaries with manual summarization for summary quality, human efficiency, and user experience. |
| Outcome: | The results show that post-editing improves summary quality, human efficiency, and user experience on formal (XSum news) and informal (Reddit posts) text. |
Mapping the Design Space of Human-AI Interaction in Text Summarization (2022.naacl-main)
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| Challenge: | Automated text summarization systems involve humans for preparing data or evaluating model performance, yet, there is no systematic understanding of human-AI interactions and how to design for them. |
| Approach: | They conducted a systematic literature review of 70 papers and designed prototypes for each interaction. |
| Outcome: | The proposed design considerations were based on the results of a systematic literature review of 70 papers and interviews with 16 users. |