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The School of Natural and Computing Sciences

CS Seminar: Evaluating Natural Language Generation

All members of the department are welcome: undergraduates, postgraduates, postdocs, teaching staff, technical staff - anyone who would like to attend and learn a little bit about what our speakers do in their research career. Members from other disciplines within the School, and the wider University community, are also welcome to attend.

All PhD students in Chemistry are expected to attend as part of their PhD training.

CS Seminar: Evaluating Natural Language Generation
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This is a past event

A key challenge in Natural Language Generation (NLG) is evaluating the quality of texts produced by an NLG system.   Robust and reliable evaluation is essential to determining whether a new NLG model or system advances state-of-the-art, understanding weaknesses of current NLG systems, and giving users a good understanding of what they can expect from an NLG system.

In this talk, I will summarise research in Aberdeen on evaluating NLG, focusing on

  • Techniques for evaluating the accuracy of generated texts
  • Techniques for evaluating the usefulness of generated texts in real-world settings
  • Our new EPSRC project (not yet started) on making evaluations more reproducible
Speaker
Ehud Reiter
Venue
Meston 4 (physical) and MS Teams (virtual)
Contact

Please contact Ehud Reiter for more information