human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "towards neural machine translation for african languages"
  Abstract: Paper presented at the NIPS 2018 Workshop on Machine Learning for the Developing World, December 2018, Montreal, Canada

Connected through hyperedge HE-1 (induced by source paper "a focus on neural machine translation for african languages"):
  with members:
    - "cross lingual language model pretraining"
    - "sentencepiece a simple and language independent subword tokenizer and detokenizer for neural text processing"
    - "meta learning for low resource neural machine translation"
    - "unsupervised machine translation using monolingual corpora only"
    - "attention is all you need"
    - "convolutional sequence to sequence learning"
    - "grammar rules for the isizulu complex verb"
    - "google s multilingual neural machine translation system enabling zero shot translation"

Connected through hyperedge HE-2 (induced by source paper "short text language identification for under resourced languages"):
  with members:
    - "improving short text classification through global augmentation methods"
    - "automatic language identification in texts a survey"
    - "what s in a domain learning domain robust text representations using adversarial training"
    - "the wili benchmark dataset for written language identification"
    - "improved text language identification for the south african languages"
    - "hierarchical character word models for language identification"
    - "bag of tricks for efficient text classification"

Connected through hyperedge HE-3 (induced by source paper "benchmarking neural machine translation for southern african languages"):
  with members:
    - "a focus on neural machine translation for african languages"
    - "attention is all you need"
    - "convolutional sequence to sequence learning"
    - "grammar rules for the isizulu complex verb"

Question: Please tell me which class the center node 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)