Our conversational agent UKP-ATHENA assists NLP researchers in finding and exploring scientific literature, identifying relevant authors, planning or post-processing conference visits, and preparing paper submissions using a unified interface based on natural language inputs and responses. UKP-ATHENA enables new access paths to our swiftly evolving research area with its massive amounts of scientific information and high turnaround times. UKP-ATHENA's responses connect information from multiple heterogeneous sources which researchers currently have to explore manually one after another. Unlike a search engine, UKP-ATHENA maintains the context of a conversation to allow for efficient information access on papers, researchers, and conferences. Our architecture consists of multiple components with reference implementations that can be easily extended by new skills and domains. Our user-based evaluation shows that UKP-ATHENA already responds 45% of different formulations of defined intents with 37% information coverage rate.
翻译：我们的对话代理人UKP-AtheNA协助国家实验室研究人员查找和探索科学文献,确定相关作者、规划或后处理会议访问,并利用基于自然语言投入和回应的统一界面编写书面呈件。 UKP-AtheNA利用大量科学信息,以及高周转时间,为我们迅速发展的研究领域提供了新的访问途径。 UKP-AtheNA的回复将研究人员目前必须相互人工探索的多种不同来源的信息连接在一起。与搜索引擎不同,UKP-AtheNA维持对话的背景,以便有效地获取关于论文、研究人员和会议的信息。我们的建筑由多个组成部分组成,参考实施可以很容易地通过新的技能和领域扩展。我们的用户评估显示,UKP-AHeNA已经以37%的信息覆盖率对45%的确定意图做出了回应。
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