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: "atlas a flexible and extensible architecture for linguistic annotation"
  Abstract: We describe a formal model for annotating linguistic artifacts, from which we derive an application programming interface (API) to a suite of tools for manipulating these annotations. The abstract logical model provides for a range of storage formats and promotes the reuse of tools that interact through this API. We focus first on ``Annotation Graphs,'' a graph model for annotations on linear signals (such as text and speech) indexed by intervals, for which efficient database storage and querying techniques are applicable. We note how a wide range of existing annotated corpora can be mapped to this annotation graph model. This model is then generalized to encompass a wider variety of linguistic ``signals,'' including both naturally occuring phenomena (as recorded in images, video, multi-modal interactions, etc.), as well as the derived resources that are increasingly important to the engineering of natural language processing systems (such as word lists, dictionaries, aligned bilingual corpora, etc.). We conclude with a review of the current efforts towards implementing key pieces of this architecture.

Connected through hyperedge HE-1 (induced by source paper "factors influencing risk acceptance of cloud computing services in the uk government"):
  with members:
    - "the cloud adoption toolkit supporting cloud adoption decisions in the enterprise"

Connected through hyperedge HE-2 (induced by source paper "data formats for phonological corpora"):
  with members:
    - "tiger2 serialising the iso synaf syntactic object model"
    - "stabilizing knowledge through standards a perspective for the humanities"
    - "standards for language resources"
    - "questions answers for tei newcomers"
    - "a formal framework for linguistic annotation"

Connected through hyperedge HE-3 (induced by source paper "framework and resources for natural language parser evaluation"):
  with members:
    - "a common xml based framework for syntactic annotations"
    - "joint and conditional estimation of tagging and parsing models"
    - "exploiting diversity in natural language processing combining parsers"
    - "measuring efficiency in high accuracy broad coverage statistical parsing"
    - "corpus annotation for parser evaluation"

Connected through hyperedge HE-4 (induced by source paper "grid enabling natural language engineering by stealth"):
  with members:
    - "annotation graphs and servers and multi modal resources infrastructure for interdisciplinary education research and development"
    - "the anatomy of the grid enabling scalable virtual organizations"

Connected through hyperedge HE-5 (induced by source paper "a formal framework for linguistic annotation revised version"):
  with members:
    - "querying databases of annotated speech"
    - "many uses many annotations for large speech corpora switchboard and tdt as case studies"
    - "towards a query language for annotation graphs"
    - "annotation graphs as a framework for multidimensional linguistic data analysis"

Connected through hyperedge HE-6 (induced by source paper "a formal framework for linguistic annotation"):
  with members:
    - "querying databases of annotated speech"
    - "many uses many annotations for large speech corpora switchboard and tdt as case studies"
    - "towards a query language for annotation graphs"
    - "annotation graphs as a framework for multidimensional linguistic data analysis"

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)