文献类型： 会议论文

第一作者： Soham Parikh

作者： Soham Parikh ¹ ; Quaizar Vohra ² ; Mitul Tiwari ² ;

作者机构： 1.University of Pennsylvania

2.Passage AI

会议名称： Innovative Applications of Artificial Intelligence Conference

主办单位：

页码： 13344-13349

摘要： Conversational AI assistants are becoming popular and question-answering is an important part of any conversational assistant. Using relevant utterances as features in question-answering has shown to improve both the precision and recall for retrieving the right answer by a conversational assistant. Hence, utterance generation has become an important problem with the goal of generating relevant utterances (sentences or phrases) from a knowledge base article that consists of a title and a description. However, generating good utterances usually requires a lot of manual effort, creating the need for an automated utterance generation. In this paper, we propose an utterance generation system which 1) uses extractive summarization to extract important sentences from the description, 2) uses multiple paraphrasing techniques to generate a diverse set of paraphrases of the title and summary sentences, and 3) selects good candidate paraphrases with the help of a novel candidate selection algorithm.

分类号： TP18-53