InfoLossQA: Information Loss in Text Simplification (ACL’24)

How can we recover what has been lost in text simplification?

Text simplification aims to make texts more accessible to a broader audience. Simplification, however, is inherently a lossy process. Additionally, one simplification might not fit all – readers have different background knowledge and information needs. How do we know which information is lost in a simplified version, and can readers help to iteratively recover the information?

InfoLossQA is a framework to identify and recover information loss as question-answer pairs. See the website, demo and paper for more details.

Reference

(Trienes et al., 2024)

1. Jan Trienes, Sebastian Joseph, Jörg Schlötterer, Christin Seifert, Kyle Lo, Wei Xu, Byron Wallace, and Junyi Jessy Li. InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2024.
   BibTeX

   @inproceedings{Trienes2024_acl_infolossqa,
     author = {Trienes, Jan and Joseph, Sebastian and Schl{\"o}tterer, J{\"o}rg and Seifert, Christin and Lo, Kyle and Xu, Wei and Wallace, Byron and Li, Junyi Jessy},
     booktitle = {Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
     title = {{I}nfo{L}oss{QA}: Characterizing and Recovering Information Loss in Text Simplification},
     year = {2024},
     address = {Bangkok, Thailand},
     editor = {Ku, Lun-Wei and Martins, Andre and Srikumar, Vivek},
     month = aug,
     pages = {4263--4294},
     publisher = {Association for Computational Linguistics},
     code = {https://github.com/jantrienes/InfoLossQA},
     url = {https://aclanthology.org/2024.acl-long.234}
   }