PhD Spring School: Error Analysis in Natural Language Generation
Natural Language Generation (NLG), the task of generating text from some input, is arguably useful to explain the reasoning of AI models. NLG models are not error free however and developing robust, trustworthy NLG models remains a key goal for explainable AI. In this context, the Nancy Spring School will Read more…