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: "prevalence and recoverability of syntactic parameters in sparse distributed memories"
  Abstract: We propose a new method, based on Sparse Distributed Memory (Kanerva Networks), for studying dependency relations between different syntactic parameters in the Principles and Parameters model of Syntax. We store data of syntactic parameters of world languages in a Kanerva Network and we check the recoverability of corrupted parameter data from the network. We find that different syntactic parameters have different degrees of recoverability. We identify two different effects: an overall underlying relation between the prevalence of parameters across languages and their degree of recoverability, and a finer effect that makes some parameters more easily recoverable beyond what their prevalence would indicate. We interpret a higher recoverability for a syntactic parameter as an indication of the existence of a dependency relation, through which the given parameter can be determined using the remaining uncorrupted data.

Connected through hyperedge HE-1 (induced by source paper "syntactic phylogenetic trees"):
  with members:
    - "phylogenetics of indo european language families via an algebro geometric analysis of their syntactic structures"
    - "syntactic structures and code parameters"
    - "persistent topology of syntax"
    - "spin glass models of syntax and language evolution"

Connected through hyperedge HE-2 (induced by source paper "heat kernel analysis of syntactic structures"):
  with members:
    - "phylogenetics of indo european language families via an algebro geometric analysis of their syntactic structures"

Connected through hyperedge HE-3 (induced by source paper "syntactic structures and code parameters"):
  with members:
    - "persistent topology of syntax"
    - "spin glass models of syntax and language evolution"
    - "complexity vs energy theory of computation and theoretical physics"
    - "kolmogorov complexity and the asymptotic bound for error correcting codes"
    - "error correcting codes and phase transitions"

Connected through hyperedge HE-4 (induced by source paper "persistent topology of syntax"):
  with members:
    - "syntactic phylogenetic trees"
    - "phylogenetics of indo european language families via an algebro geometric analysis of their syntactic structures"
    - "syntactic structures and code parameters"
    - "spin glass models of syntax and language evolution"

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)