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 "topic aware neural keyphrase generation for social media language"):
  Abstract: A huge volume of user-generated content is daily produced on social media. To facilitate automatic language understanding, we study keyphrase prediction, distilling salient information from massive posts. While most existing methods extract words from source posts to form keyphrases, we propose a sequence-to-sequence (seq2seq) based neural keyphrase generation framework, enabling absent keyphrases to be created. Moreover, our model, being topic-aware, allows joint modeling of corpus-level latent topic representations, which helps alleviate the data sparsity that widely exhibited in social media language. Experiments on three datasets collected from English and Chinese social media platforms show that our model significantly outperforms both extraction and generation models that do not exploit latent topics. Further discussions show that our model learns meaningful topics, which interprets its superiority in social media keyphrase generation.

Includes members:
  Member "an integrated approach for keyphrase generation via exploring the power of retrieval and extraction":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "keyphrase generation a multi aspect survey")
  Member "microblog hashtag generation via encoding conversation contexts":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "neural keyphrase generation via reinforcement learning with adaptive rewards")
  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-3 (induced by source paper "automating app review response generation")
  Member "keyphrase generation with correlation constraints":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "large scale evaluation of keyphrase extraction models")
  Member "topic memory networks for short text classification":
    also connected through other hyperedges:
      - Hyperedge HE-5 (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-6 (induced by source paper "what changed your mind the roles of dynamic topics and discourse in argumentation process")
  Member "title guided encoding for keyphrase generation":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "keyphrase generation a multi aspect survey")
  Member "deep keyphrase generation":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "two huge title and keyword generation corpora of research articles")

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)