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 "what changed your mind the roles of dynamic topics and discourse in argumentation process"):
  Abstract: In our world with full of uncertainty, debates and argumentation contribute to the progress of science and society. Despite of the in- creasing attention to characterize human arguments, most progress made so far focus on the debate outcome, largely ignoring the dynamic patterns in argumentation processes. This paper presents a study that automatically analyzes the key factors in argument persuasiveness, beyond simply predicting who will persuade whom. Specifically, we propose a novel neural model that is able to dynamically track the changes of latent topics and discourse in argumentative conversations, allowing the investigation of their roles in influencing the outcomes of persuasion. Extensive experiments have been conducted on argumentative conversations on both social media and supreme court. The results show that our model outperforms state-of-the-art models in identifying persuasive arguments via explicitly exploring dynamic factors of topic and discourse. We further analyze the effects of topics and discourse on persuasiveness, and find that they are both useful -- topics provide concrete evidence while superior discourse styles may bias participants, especially in social media arguments. In addition, we draw some findings from our empirical results, which will help people better engage in future persuasive conversations.

Includes members:
  Member "unsupervised dialog structure learning":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "recent advances and challenges in task oriented dialog system")
  Member "what you say and how you say it joint modeling of topics and discourse in microblog conversations":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "automating app review response generation")
  Member "what gets echoed understanding the pointers in explanations of persuasive arguments":
    also connected through other hyperedges:
      (none)
  Member "topic memory networks for short text classification":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "automating app review response generation")
  Member "a joint model of conversational discourse and latent topics on microblogs":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "conversational structure aware and context sensitive topic model for online discussions")
  Member "attentive interaction model modeling changes in view in argumentation":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "trouble on the horizon forecasting the derailment of online conversations as they develop")
  Member "joint modeling of content and discourse relations in dialogues":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "what you say and how you say it joint modeling of topics and discourse in microblog conversations")
  Member "winning on the merits the joint effects of content and style on debate outcomes":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "trouble on the horizon forecasting the derailment of online conversations as they develop")

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)