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120 - Evaluation of Text Generation, with Asli Celikyilmaz

NLP Highlights

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The Challenges of Pushing Neural NLG Systems in Production

There's also other issues like, like I mentioned, like these neural decoders are not easily controllable. So it is still a big challenge when we consider these ethical or bias issues that might originate from either training data or the biases that we introduce into these models. One example is that a chatbot, for instance, can just answer a yes. Yes could be very, you know, okay, but it could also be an offensive given the context. So how do we act?

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