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: "towards empathetic human robot interactions"
  Abstract: Since the late 1990s when speech companies began providing their customer-service software in the market, people have gotten used to speaking to machines. As people interact more often with voice and gesture controlled machines, they expect the machines to recognize different emotions, and understand other high level communication features such as humor, sarcasm and intention. In order to make such communication possible, the machines need an empathy module in them which can extract emotions from human speech and behavior and can decide the correct response of the robot. Although research on empathetic robots is still in the early stage, we described our approach using signal processing techniques, sentiment analysis and machine learning algorithms to make robots that can "understand" human emotion. We propose Zara the Supergirl as a prototype system of empathetic robots. It is a software based virtual android, with an animated cartoon character to present itself on the screen. She will get "smarter" and more empathetic through its deep learning algorithms, and by gathering more data and learning from it. In this paper, we present our work so far in the areas of deep learning of emotion and sentiment recognition, as well as humor recognition. We hope to explore the future direction of android development and how it can help improve people's lives.

Connected through hyperedge HE-1 (induced by source paper "learning to memorize in neural task oriented dialogue systems"):
  with members:
    - "transferable multi domain state generator for task oriented dialogue systems"
    - "zero shot dialog generation with cross domain latent actions"
    - "skeleton to response dialogue generation guided by retrieval memory"
    - "the natural language decathlon multitask learning as question answering"
    - "an end to end approach for handling unknown slot values in dialogue state tracking"
    - "mem2seq effectively incorporating knowledge bases into end to end task oriented dialog systems"
    - "emo2vec learning generalized emotion representation by multi task training"
    - "global locally self attentive dialogue state tracker"

Connected through hyperedge HE-2 (induced by source paper "towards universal end to end affect recognition from multilingual speech by convnets"):
  with members:
    - "bi modal first impressions recognition using temporally ordered deep audio and stochastic visual features"
    - "deep impression audiovisual deep residual networks for multimodal apparent personality trait recognition"
    - "fast and accurate deep network learning by exponential linear units elus"
    - "adam a method for stochastic optimization"

Connected through hyperedge HE-3 (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-4 (induced by source paper "from eliza to xiaoice challenges and opportunities with social chatbots"):
  with members:
    - "annotating and modeling empathy in spoken conversations"
    - "a persona based neural conversation model"
    - "a network based end to end trainable task oriented dialogue system"
    - "stalematebreaker a proactive content introducing approach to automatic human computer conversation"
    - "multiresolution recurrent neural networks an application to dialogue response generation"
    - "wavenet a generative model for raw audio"
    - "achieving human parity in conversational speech recognition"
    - "senticap generating image descriptions with sentiments"

Connected through hyperedge HE-5 (induced by source paper "globaltrait personality alignment of multilingual word embeddings"):
  with members:
    - "word translation without parallel data"
    - "enriching word vectors with subword information"
    - "a language independent and compositional model for personality trait recognition from short texts"
    - "convolutional neural networks for sentence classification"
    - "a convolutional neural network for modelling sentences"
    - "distributed representations of words and phrases and their compositionality"

Connected through hyperedge HE-6 (induced by source paper "emotionlines an emotion corpus of multi party conversations"):
  with members:
    - "wassa 2017 shared task on emotion intensity"
    - "sensing emotions in text messages an application and deployment study of emotionpush"
    - "convolutional neural networks for sentence classification"

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)