Amanda Bertsch


I am a first-year masters student in the Language Technologies Institute at Carnegie Mellon University, advised by Matt Gormley.

My research interest is in conditional text generation, especially for summarization. I’m interested in building more interpretable, faithful models that are robust to non-standard (e.g. informal or domain-specific) language. Currently, my work is in dialogue summarization.

I received my bachelors in math and computer science from the University of Arizona, where I was advised by Steven Bethard.

In my spare time, I write and read speculative fiction and play tabletop games.


Nov 11, 2021 I presented my undergraduate thesis work on bias detection at the 2021 Workshop on Noisy User-generated Text!

selected publications

  1. ACL
    Detection of Puffery on the English Wikipedia
    Bertsch, Amanda, and Bethard, Steven
    In Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021) Nov 2021