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: "minimum description length and compositionality"
  Abstract: In (Zadrozny, 1994) we have shown that the standard definition of compositionality is formally vacuous; that is, any semantics can be easily encoded as a compositional semantics. We have also shown that when compositional semantics is required to be ‘systematic’, it is possible to introduce a non-vacuous concept of compositionality. However, a technical definition of systematicity was not given in that paper; only examples of systematic and non-systematic semantics were presented. As a result, although our paper clarified the concept of compositionality, it did not solve the problem of the systematic assignment of meanings. In other words, we have shown that the concept of compositionality is vacuous, but we have not replaced it with a better definition; a definition that would both be mathematically correct and would satisfy the common intuitions that there are parts of grammars which seem to have compositional semantics, and others, like idioms, that do not. We present such a non-vacuous definition of compositionality in this chapter.

Connected through hyperedge HE-1 (induced by source paper "ultrametric distance in syntax"):
  with members:
    - "name strategy its existence and implications"
    - "p model alternative to the t model"

Connected through hyperedge HE-2 (induced by source paper "does meaning evolve"):
  with members:
    - "name strategy its existence and implications"
    - "autocatalytic theory of meaning"

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)