human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "towards dialogue based navigation with multivariate adaptation driven by intention and politeness for social robots"):
  Abstract: Service robots need to show appropriate social behaviour in order to be deployed in social environments such as healthcare, education, retail, etc. Some of the main capabilities that robots should have are navigation and conversational skills. If the person is impatient, the person might want a robot to navigate faster and vice versa. Linguistic features that indicate politeness can provide social cues about a person’s patient and impatient behaviour. The novelty presented in this paper is to dynamically incorporate politeness in robotic dialogue systems for navigation. Understanding the politeness in users’ speech can be used to modulate the robot behaviour and responses. Therefore, we developed a dialogue system to navigate in an indoor environment, which produces different robot behaviours and responses based on users’ intention and degree of politeness. We deploy and test our system with the Pepper robot that adapts to the changes in user’s politeness.

Includes members:
  Member "discourse wizard discovering deep discourse structure in your conversation with rnns":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "eda enriching emotional dialogue acts using an ensemble of neural annotators")
  Member "snips voice platform an embedded spoken language understanding system for private by design voice interfaces":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "efficient intent detection with dual sentence encoders")
  Member "sentiment adaptive end to end dialog systems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "generating emotionally aligned responses in dialogues using affect control theory")
  Member "enabling a pepper robot to provide automated and interactive tours of a robotics laboratory":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "enabling socially competent navigation through incorporating hri")
  Member "setting up pepper for autonomous navigation and personalized interaction with users":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "enabling socially competent navigation through incorporating hri")
  Member "dialogue act sequence labeling using hierarchical encoder with crf":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "local contextual attention with hierarchical structure for dialogue act recognition")
  Member "end to end joint learning of natural language understanding and dialogue manager":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "plato dialogue system a flexible conversational ai research platform")
  Member "a computational approach to politeness with application to social factors":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "ten social dimensions of conversations and relationships")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.RO(Robotics)