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 "neural abstractive text summarization and fake news detection"):
  Abstract: In this work, we study abstractive text summarization by exploring different models such as LSTM-encoder-decoder with attention, pointer-generator networks, coverage mechanisms, and transformers. Upon extensive and careful hyperparameter tuning we compare the proposed architectures against each other for the abstractive text summarization task. Finally, as an extension of our work, we apply our text summarization model as a feature extractor for a fake news detection task where the news articles prior to classification will be summarized and the results are compared against the classification using only the original news text. #R##N#keywords: abstractive text summarization, pointer-generator, coverage mechanism, transformers, fake news detection

Includes members:
  Member "attending to entities for better text understanding":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a survey on deep learning for named entity recognition")
  Member "abstractive text summarization by incorporating reader comments":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "learning to respond with stickers a framework of unifying multi modality in multi turn dialog")
  Member "end to end alzheimer s disease diagnosis and biomarker identification":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "representation learning with statistical independence to mitigate bias")
  Member "abstractive and extractive text summarization using document context vector and recurrent neural networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "headline generation learning from decomposed document titles")
  Member "end to end parkinson disease diagnosis using brain mr images by 3d cnn":
    also connected through other hyperedges:
      (none)
  Member "towards explainable nlp a generative explanation framework for text classification":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "improving the interpretability of neural sentiment classifiers via data augmentation")
  Member "wikihow a large scale text summarization dataset":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "natural language qa approaches using reasoning with external knowledge")
  Member "text summarization techniques a brief survey":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "human like time series summaries via trend utility estimation")

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)