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 "short text language identification for under resourced languages"):
  Abstract: The paper presents a hierarchical naive Bayesian and lexicon based classifier for short text language identification (LID) useful for under resourced languages. The algorithm is evaluated on short pieces of text for the 11 official South African languages some of which are similar languages. The algorithm is compared to recent approaches using test sets from previous works on South African languages as well as the Discriminating between Similar Languages (DSL) shared tasks' datasets. Remaining research opportunities and pressing concerns in evaluating and comparing LID approaches are also discussed.

Includes members:
  Member "improving short text classification through global augmentation methods":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "investigating an approach for low resource language dataset creation curation and classification setswana and sepedi")
  Member "automatic language identification in texts a survey":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "semi supervised stochastic multi domain learning using variational inference")
  Member "towards neural machine translation for african languages":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a focus on neural machine translation for african languages")
  Member "what s in a domain learning domain robust text representations using adversarial training":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "using similarity measures to select pretraining data for ner")
  Member "the wili benchmark dataset for written language identification":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "beto bentz becas the surprising cross lingual effectiveness of bert")
  Member "improved text language identification for the south african languages":
    also connected through other hyperedges:
      (none)
  Member "hierarchical character word models for language identification":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "language identification on massive datasets of short message using an attention mechanism cnn")
  Member "bag of tricks for efficient text classification":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "description based text classification with reinforcement learning")

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)