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 a query language for annotation graphs"
  Abstract: The multidimensional, heterogeneous, and temporal nature of speech databases raises interesting challenges for representation and query. Recently, annotation graphs have been proposed as a general-purpose representational framework for speech databases. Typical queries on annotation graphs require path expressions similar to those used in semistructured query languages. However, the underlying model is rather different from the customary graph models for semistructured data: the graph is acyclic and unrooted, and both temporal and inclusion relationships are important. We develop a query language and describe optimization techniques for an underlying relational representation.

Connected through hyperedge HE-1 (induced by source paper "a concise query language with search and transform operations for corpora with multiple levels of annotation"):
  with members:
    - "creating annotation tools with the annotation graph toolkit"
    - "an integrated framework for treebanks and multilayer annotations"
    - "a formal framework for linguistic annotation"

Connected through hyperedge HE-2 (induced by source paper "models and tools for collaborative annotation"):
  with members:
    - "creating annotation tools with the annotation graph toolkit"
    - "tabletrans multitrans intertrans and treetrans diverse tools built on the annotation graph toolkit"
    - "annotation graphs and servers and multi modal resources infrastructure for interdisciplinary education research and development"
    - "the olac metadata set and controlled vocabularies"
    - "a formal framework for linguistic annotation"

Connected through hyperedge HE-3 (induced by source paper "an integrated framework for treebanks and multilayer annotations"):
  with members:
    - "creating annotation tools with the annotation graph toolkit"
    - "querying databases of annotated speech"
    - "tabletrans multitrans intertrans and treetrans diverse tools built on the annotation graph toolkit"
    - "a formal framework for linguistic annotation"

Connected through hyperedge HE-4 (induced by source paper "annotation graphs and servers and multi modal resources infrastructure for interdisciplinary education research and development"):
  with members:
    - "querying databases of annotated speech"
    - "many uses many annotations for large speech corpora switchboard and tdt as case studies"
    - "a formal framework for linguistic annotation"

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"
    - "atlas a flexible and extensible architecture for linguistic annotation"
    - "annotation graphs as a framework for multidimensional linguistic data analysis"

Connected through hyperedge HE-6 (induced by source paper "atlas a flexible and extensible architecture for linguistic annotation"):
  with members:
    - "querying databases of annotated speech"
    - "a formal framework for linguistic annotation"

Connected through hyperedge HE-7 (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"
    - "atlas a flexible and extensible architecture for linguistic annotation"
    - "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)