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 "c textgen conditional text generation for harmonious human machine interaction"):
  Abstract: In recent years, with the development of deep learning technology, text generation technology has undergone great changes and provided many kinds of services for human beings, such as restaurant reservation and daily communication. The automatically generated text is becoming more and more fluent so researchers begin to consider more anthropomorphic text generation technology, that is the conditional text generation, including emotional text generation, personalized text generation, and so on. Conditional text generation (c-TextGen) has thus become a research hotspot. As a promising research field, we find that many efforts have been paid to researches of c-TextGen. Therefore, we aim to give a comprehensive review of the new research trends of c-TextGen. We first give a brief literature review of text generation technology, based on which we formalize the concept model of c-TextGen. We further make an investigation of several different c-TextGen techniques, and illustrate the advantages and disadvantages of commonly used neural network models. Finally, we discuss the open issues and promising research directions of c-TextGen.

Includes members:
  Member "towards knowledge based personalized product description generation in e commerce":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "towards knowledge based recommender dialog system")
  Member "improving neural response diversity with frequency aware cross entropy loss":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "refnet a reference aware network for background based conversation")
  Member "an adversarial approach to high quality sentiment controlled neural dialogue generation":
    also connected through other hyperedges:
      (none)
  Member "topic guided variational autoencoders for text generation":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "paraphrase generation with latent bag of words")
  Member "knowledge aware conversation generation with explainable reasoning on augmented graphs":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "refnet a reference aware network for background based conversation")
  Member "knowledge aware conversation generation with reasoning on augmented graph":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "sequential latent knowledge selection for knowledge grounded dialogue")
  Member "reinforcement learning based emotional editing constraint conversation generation":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "emotionally aware chatbots a survey")
  Member "towards an engine for lifelong interactive knowledge learning in human machine conversations":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "lifelong and interactive learning of factual knowledge in dialogues")

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.CL(Computation and Language)