Multi-lingual Evaluation of a Natural Language Generation System
作者： Amy Isard , Athanasios Karasimos
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摘要: This paper describes a user evaluation of the text output from M-PIRO (Multilingual Personalised Information Objects) system, which dynamically generates descriptions exhibits for virtual museum. We show that subjects performed significantly better in factual recall test when included more sophisticated structuring modules. The also judged structured texts to be interesting and readable, felt they had learned them.
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