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 "multi modal sentiment analysis using super characters method on low power cnn accelerator device"):
  Abstract: Recent years NLP research has witnessed the record-breaking accuracy improvement by DNN models. However, power consumption is one of the practical concerns for deploying NLP systems. Most of the current state-of-the-art algorithms are implemented on GPUs, which is not power-efficient and the deployment cost is also very high. On the other hand, CNN Domain Specific Accelerator (CNN-DSA) has been in mass production providing low-power and low cost computation power. In this paper, we will implement the Super Characters method on the CNN-DSA. In addition, we modify the Super Characters method to utilize the multi-modal data, i.e. text plus tabular data in the CL-Aff sharedtask.

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 "supercaptioning image captioning 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-2 (induced by source paper "supercaptioning image captioning using two dimensional word embedding")
  Member "supercaptioning image captioning using two dimensional word embedding":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "system demo for transfer learning across vision and text using domain specific cnn accelerator for on device nlp applications")
  Member "system demo for transfer learning across vision and text using domain specific cnn accelerator for on device nlp applications":
    also connected through other hyperedges:
      (none)
  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 "supertml two dimensional word embedding for the precognition on structured tabular data")
  Member "happydb a corpus of 100 000 crowdsourced happy moments":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "happy together learning and understanding appraisal from natural language")
  Member "super characters a conversion from sentiment classification to image classification":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "supertml two dimensional word embedding for the precognition on structured tabular data")

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)