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Many current artificial general intelligence (AGI) and natural languageprocessing (NLP) architectures do not possess general conversationalintelligence--that is, they either do not deal with language or are unable toconvey knowledge in a form similar to the human language without manual,labor-intensive methods such as template-based customization. In this paper, wepropose a new technique to automatically generate grammatically valid sentencesusing the Link Grammar database. This natural language generation method faroutperforms current state-of-the-art baselines and may serve as the finalcomponent in a proto-AGI question answering pipeline that understandablyhandles natural language material.

Natural Language Generation Using Link Grammar for General Conversational Intelligence