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 "superchat dialogue generation by transfer learning from vision to language using two dimensional word embedding"):
  Abstract: The recent work of Super Characters method using two-dimensional word embedding achieved state-of-the-art results in text classification tasks, showcasing the promise of this new approach. This paper borrows the idea of Super Characters method and two-dimensional embedding, and proposes a method of generating conversational response for open domain dialogues. The experimental results on a public dataset shows that the proposed SuperChat method generates high quality responses. An interactive demo is ready to show at the workshop.

Includes members:
  Member "supertml two dimensional word embedding and transfer learning using imagenet pretrained cnn models for the classifications on tabular data":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "supercaptioning image captioning using two dimensional word embedding")
  Member "squared english word a method of generating glyph to use super characters for sentiment analysis":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "multi modal sentiment analysis using super characters method on low power cnn accelerator device")
  Member "generating multiple diverse responses for short text conversation":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "an empirical investigation of pre trained transformer language models for open domain dialogue generation")
  Member "ultra power efficient cnn domain specific accelerator with 9 3tops watt for mobile and embedded applications":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "supertml two dimensional word embedding for the precognition on structured tabular data")
  Member "super characters a conversion from sentiment classification to image classification":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "multi modal sentiment analysis using super characters method on low power cnn accelerator device")
  Member "attention is all you need":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "using a thousand optimization tasks to learn hyperparameter search strategies")
  Member "beam search strategies for neural machine translation":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "urdu english machine transliteration using neural networks")
  Member "squeeze and excitation networks":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "learning enriched features for real image restoration and enhancement")

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)