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arXiv 1902.01529cs.CLcs.AI

An Ensemble Dialogue System for Facts-Based Sentence Generation

  • Nagoya Institute of Technology(名古屋工业大学)

机构由 AI 辅助整理,请以论文原文为准。

Ryota Tanaka, Akihide Ozeki, Shugo Kato, Akinobu Lee

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英文摘要:

This study aims to generate responses based on real-world facts by conditioning context and external facts extracted from information websites. Our system is an ensemble system that combines three modules: generated-based module, retrieval-based module, and reranking module. Therefore, this system can return diverse and meaningful responses from various perspectives. The experiments and evaluations are conducted with the sentence generation task in Dialog System Technology Challenges 7 (DSTC7-Task2). As a result, the proposed system performed significantly better than sole modules, and worked fine at the DSTC7-Task2, specifically on the objective evaluation.

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