An Ensemble Dialogue System for Facts-Based Sentence Generation

February 05, 2019 ยท Declared Dead ยท ๐Ÿ› arXiv.org

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Authors Ryota Tanaka, Akihide Ozeki, Shugo Kato, Akinobu Lee arXiv ID 1902.01529 Category cs.CL: Computation & Language Cross-listed cs.AI Citations 4 Venue arXiv.org Last Checked 5 months ago
Abstract
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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