  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.
