Assessing ChatGPT for Text Summarization, Simplification and Extraction Tasks

Raseen Tariq, Sheza Malik, Mousumi Roy, Meena Z. Islam, Umair Rasheed, Jiang Bian, Kai Zheng, Rui Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this study, we evaluated the performance of ChatGPT for various textual tasks regarding the information on dietary supplements. We found that ChatGPT performed reasonably well with text summarization, simplification and extracting relations. However, in about one third of sentences, human evaluators felts that some relevant information was lost among the output generated by ChatGPT.

Original languageEnglish (US)
Title of host publicationProceedings - 2023 IEEE 11th International Conference on Healthcare Informatics, ICHI 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages746-749
Number of pages4
ISBN (Electronic)9798350302639
DOIs
StatePublished - 2023
Event11th IEEE International Conference on Healthcare Informatics, ICHI 2023 - Houston, United States
Duration: Jun 26 2023Jun 29 2023

Publication series

NameProceedings - 2023 IEEE 11th International Conference on Healthcare Informatics, ICHI 2023

Conference

Conference11th IEEE International Conference on Healthcare Informatics, ICHI 2023
Country/TerritoryUnited States
CityHouston
Period6/26/236/29/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • ChatGPT
  • relation extraction
  • text simplification
  • text summarization

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