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 "supercaptioning image captioning using two dimensional word embedding"):
  Abstract: Language and vision are processed as two different modal in current work for image captioning. However, recent work on Super Characters method shows the effectiveness of two-dimensional word embedding, which converts text classification problem into image classification problem. In this paper, we propose the SuperCaptioning method, which borrows the idea of two-dimensional word embedding from Super Characters method, and processes the information of language and vision together in one single CNN model. The experimental results on Flickr30k data shows the proposed method gives high quality image captions. An interactive demo is ready to show at the workshop.

Includes members:
  Member "superchat dialogue generation by transfer learning from vision to language using two dimensional word embedding":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "multi modal sentiment analysis using super characters method on low power cnn accelerator device")
  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-2 (induced by source paper "superchat dialogue generation by transfer learning from vision to language using two dimensional word embedding")
  Member "supertml two dimensional word embedding for the precognition on structured tabular data":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "multi modal sentiment analysis using super characters method on low power cnn accelerator device")
  Member "squared english word a method of generating glyph to use super characters for sentiment analysis":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "multi modal sentiment analysis using super characters method on low power cnn accelerator device")
  Member "ultra power efficient cnn domain specific accelerator with 9 3tops watt for mobile and embedded applications":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "supertml two dimensional word embedding for the precognition on structured tabular data")
  Member "a comprehensive survey of deep learning for image captioning":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "language is power representing states using natural language in reinforcement learning")
  Member "super characters a conversion from sentiment classification to image classification":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "multi modal sentiment analysis using super characters method on low power cnn accelerator device")
  Member "show and tell lessons learned from the 2015 mscoco image captioning challenge":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "aitpr attribute interaction tensor product representation for image caption")

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)