human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "slugbot an application of a novel and scalable open domain socialbot framework"
  Abstract: In this paper we introduce a novel, open domain socialbot for the Amazon Alexa Prize competition, aimed at carrying on friendly conversations with users on a variety of topics. We present our modular system, highlighting our different data sources and how we use the human mind as a model for data management. Additionally we build and employ natural language understanding and information retrieval tools and APIs to expand our knowledge bases. We describe our semistructured, scalable framework for crafting topic-specific dialogue flows, and give details on our dialogue management schemes and scoring mechanisms. Finally we briefly evaluate the performance of our system and observe the challenges that an open domain socialbot faces.

Connected through hyperedge HE-1 (induced by source paper "beyond turing intelligent agents centered on the user"):
  with members:
    - "learning from dialogue after deployment feed yourself chatbot"
    - "talking to myself self dialogues as data for conversational agents"
    - "leveraging user engagement signals for entity labeling in a virtual assistant"
    - "a multimodal lstm for predicting listener empathic responses over time"
    - "conversational ai the science behind the alexa prize"
    - "laying down the yellow brick road development of a wizard of oz interface for collecting human robot dialogue"
    - "dailydialog a manually labelled multi turn dialogue dataset"
    - "towards an automatic turing test learning to evaluate dialogue responses"

Connected through hyperedge HE-2 (induced by source paper "implicit discourse relation identification for open domain dialogues"):
  with members:
    - "advancing the state of the art in open domain dialog systems through the alexa prize"
    - "deep enhanced representation for implicit discourse relation recognition"
    - "talking to myself self dialogues as data for conversational agents"
    - "deep contextualized word representations"
    - "improving implicit discourse relation classification by modeling inter dependencies of discourse units in a paragraph"
    - "slugnerds a named entity recognition tool for open domain dialogue systems"
    - "conversational ai the science behind the alexa prize"
    - "combining search with structured data to create a more engaging user experience in open domain dialogue"

Connected through hyperedge HE-3 (induced by source paper "slugbot developing a computational model andframework of a novel dialogue genre"):
  with members:
    - "a deep ensemble model with slot alignment for sequence to sequence natural language generation"
    - "slugnerds a named entity recognition tool for open domain dialogue systems"
    - "attention is all you need"
    - "combining search with structured data to create a more engaging user experience in open domain dialogue"
    - "edina building an open domain socialbot with self dialogues"
    - "personabank a corpus of personal narratives and their story intention graphs"
    - "m2d monolog to dialog generation for conversational story telling"

Connected through hyperedge HE-4 (induced by source paper "advancing the state of the art in open domain dialog systems through the alexa prize"):
  with members:
    - "slugbot developing a computational model andframework of a novel dialogue genre"
    - "achieving human parity on automatic chinese to english news translation"
    - "contextual language model adaptation for conversational agents"
    - "alquist the alexa prize socialbot"
    - "topic based evaluation for conversational bots"
    - "tartan a retrieval based socialbot powered by a dynamic finite state machine architecture"
    - "conversational ai the science behind the alexa prize"
    - "just ask building an architecture for extensible self service spoken language understanding"

Connected through hyperedge HE-5 (induced by source paper "conversational ai the science behind the alexa prize"):
  with members:
    - "just ask building an architecture for extensible self service spoken language understanding"
    - "predicting causes of reformulation in intelligent assistants"
    - "opennmt open source toolkit for neural machine translation"
    - "rubystar a non task oriented mixture model dialog system"
    - "lstm based conversation models"
    - "a hierarchical latent variable encoder decoder model for generating dialogues"
    - "a neural network approach to context sensitive generation of conversational responses"
    - "a neural conversational model"

Connected through hyperedge HE-6 (induced by source paper "slugnerds a named entity recognition tool for open domain dialogue systems"):
  with members:
    - "conversational ai the science behind the alexa prize"
    - "combining search with structured data to create a more engaging user experience in open domain dialogue"
    - "analysis of named entity recognition and linking for tweets"

Question: Please tell me which class the center node 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.CL(Computation and Language)