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 "classifier ensembles for dialect and language variety identification"):
  Abstract: In this paper we present ensemble-based systems for dialect and language variety identification using the datasets made available by the organizers of the VarDial Evaluation Campaign 2018. We present a system developed to discriminate between Flemish and Dutch in subtitles and a system trained to discriminate between four Arabic dialects: Egyptian, Levantine, Gulf, North African, and Modern Standard Arabic in speech broadcasts. Finally, we compare the performance of these two systems with the other systems submitted to the Discriminating between Dutch and Flemish in Subtitles (DFS) and the Arabic Dialect Identification (ADI) shared tasks at VarDial 2018.

Includes members:
  Member "automatic language identification in texts a survey":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "semi supervised stochastic multi domain learning using variational inference")
  Member "unibuckernel reloaded first place in arabic dialect identification for the second year in a row":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "moroco the moldavian and romanian dialectal corpus")
  Member "discriminating between indo aryan languages using svm ensembles":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "language model adaptation for language and dialect identification of text")
  Member "speech recognition challenge in the wild arabic mgb 3":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "moroco the moldavian and romanian dialectal corpus")
  Member "automatic dialect detection in arabic broadcast speech":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "moroco the moldavian and romanian dialectal corpus")

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)