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: "sounding board a user centric and content driven social chatbot"
  Abstract: We present Sounding Board, a social chatbot that won the 2017 Amazon Alexa Prize. The system architecture consists of several components including spoken language processing, dialogue management, language generation, and content management, with emphasis on user-centric and content-driven design. We also share insights gained from large-scale online logs based on 160,000 conversations with real-world users.

Connected through hyperedge HE-1 (induced by source paper "improving neural conversational models with entropy based data filtering"):
  with members:
    - "deep learning based chatbot models"
    - "jointly optimizing diversity and relevance in neural response generation"
    - "dialogwae multimodal response generation with conditional wasserstein auto encoder"
    - "importance of search and evaluation strategies in neural dialogue modeling"
    - "neural response ranking for social conversation a data efficient approach"
    - "automatic evaluation of neural personality based chatbots"
    - "better conversations by modeling filtering and optimizing for coherence and diversity"
    - "towards explainable and controllable open domain dialogue generation with dialogue acts"

Connected through hyperedge HE-2 (induced by source paper "target guided open domain conversation"):
  with members:
    - "toward unsupervised text content manipulation"
    - "rethinking action spaces for reinforcement learning in end to end dialog agents with latent variable models"
    - "unsupervised text style transfer using language models as discriminators"
    - "texar a modularized versatile and extensible toolkit for text generation"
    - "towards deep conversational recommendations"
    - "the design and implementation of xiaoice an empathetic social chatbot"
    - "decoupling strategy and generation in negotiation dialogues"
    - "personalizing dialogue agents i have a dog do you have pets too"

Connected through hyperedge HE-3 (induced by source paper "emotionally aware chatbots a survey"):
  with members:
    - "learning from dialogue after deployment feed yourself chatbot"
    - "reinforcement learning based emotional editing constraint conversation generation"
    - "the design and implementation of xiaoice an empathetic social chatbot"
    - "towards empathetic open domain conversation models a new benchmark and dataset"
    - "personalizing dialogue agents i have a dog do you have pets too"
    - "an affect rich neural conversational model with biased attention and weighted cross entropy loss"
    - "touch your heart a tone aware chatbot for customer care on social media"
    - "emotional chatting machine emotional conversation generation with internal and external memory"

Connected through hyperedge HE-4 (induced by source paper "conversation generation with concept flow"):
  with members:
    - "the curious case of neural text degeneration"
    - "jointly optimizing diversity and relevance in neural response generation"
    - "neural text generation with unlikelihood training"
    - "target guided open domain conversation"
    - "deep contextualized word representations"
    - "open domain question answering using early fusion of knowledge bases and text"
    - "a dataset for document grounded conversations"
    - "generating informative and diverse conversational responses via adversarial information maximization"

Connected through hyperedge HE-5 (induced by source paper "augmenting non collaborative dialog systems with explicit semantic and strategic dialog history"):
  with members:
    - "persuasion for good towards a personalized persuasive dialogue system for social good"
    - "unsupervised dialog structure learning"
    - "a dynamic strategy coach for effective negotiation"
    - "decoupling strategy and generation in negotiation dialogues"
    - "tartan a retrieval based socialbot powered by a dynamic finite state machine architecture"
    - "learning symmetric collaborative dialogue agents with dynamic knowledge graph embeddings"
    - "combining search with structured data to create a more engaging user experience in open domain dialogue"
    - "a persona based neural conversation model"

Connected through hyperedge HE-6 (induced by source paper "pun generation with surprise"):
  with members:
    - "delete retrieve generate a simple approach to sentiment and style transfer"
    - "plan and write towards better automatic storytelling"
    - "hierarchical neural story generation"
    - "generating sentences by editing prototypes"
    - "style transfer in text exploration and evaluation"
    - "pointer sentinel mixture models"
    - "aligning books and movies towards story like visual explanations by watching movies and reading books"
    - "adam a method for stochastic optimization"

Connected through hyperedge HE-7 (induced by source paper "the design and implementation of xiaoice an empathetic social chatbot"):
  with members:
    - "challenges in building intelligent open domain dialog systems"
    - "advancing the state of the art in open domain dialog systems through the alexa prize"
    - "response generation by context aware prototype editing"
    - "image inspired poetry generation in xiaoice"
    - "from eliza to xiaoice challenges and opportunities with social chatbots"
    - "wizard of wikipedia knowledge powered conversational agents"
    - "neural approaches to conversational ai"
    - "a study on dialogue reward prediction for open ended conversational agents"

Connected through hyperedge HE-8 (induced by source paper "tartan a retrieval based socialbot powered by a dynamic finite state machine architecture"):
  with members:
    - "alquist the alexa prize socialbot"
    - "deep contextualized word representations"
    - "universal sentence encoder"
    - "personalizing dialogue agents i have a dog do you have pets too"
    - "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.HC(Human-Computer Interaction)