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: "alquist the alexa prize socialbot"
  Abstract: This paper describes a new open domain dialogue system Alquist developed as part of the Alexa Prize competition for the Amazon Echo line of products. The Alquist dialogue system is designed to conduct a coherent and engaging conversation on popular topics. We are presenting a hybrid system combining several machine learning and rule based approaches. We discuss and describe the Alquist pipeline, data acquisition, and processing, dialogue manager, NLG, knowledge aggregation and hierarchy of sub-dialogs. We present some of the experimental results.

Connected through hyperedge HE-1 (induced by source paper "aloha artificial learning of human attributes for dialogue agents"):
  with members:
    - "the second conversational intelligence challenge convai2"
    - "transfertransfo a transfer learning approach for neural network based conversational agents"
    - "real time inference in multi sentence tasks with deep pretrained transformers"
    - "meetup a corpus of joint activity dialogues in a visual environment"
    - "bert for coreference resolution baselines and analysis"
    - "learning to speak and act in a fantasy text adventure game"
    - "keep calm and switch on preserving sentiment and fluency in semantic text exchange"
    - "game based video context dialogue"

Connected through hyperedge HE-2 (induced by source paper "generate filter and rank grammaticality classification for production ready nlg systems"):
  with members:
    - "a multilayer convolutional encoder decoder neural network for grammatical error correction"
    - "conversational ai the science behind the alexa prize"
    - "a deep reinforcement learning chatbot"
    - "the e2e dataset new challenges for end to end generation"
    - "semantically conditioned lstm based natural language generation for spoken dialogue systems"
    - "convolutional neural networks for sentence classification"

Connected through hyperedge HE-3 (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"
    - "topic based evaluation for conversational bots"
    - "slugbot an application of a novel and scalable open domain socialbot framework"
    - "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-4 (induced by source paper "tartan a retrieval based socialbot powered by a dynamic finite state machine architecture"):
  with members:
    - "deep contextualized word representations"
    - "universal sentence encoder"
    - "personalizing dialogue agents i have a dog do you have pets too"
    - "sounding board a user centric and content driven social chatbot"
    - "conversations gone awry detecting early signs of conversational failure"
    - "conversational ai the science behind the alexa prize"
    - "starspace embed all the things"
    - "supervised learning of universal sentence representations from natural language inference data"

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)