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: "a commentary on the now or never bottleneck a fundamental constraint on language by christiansen and chater 2016"
  Abstract: In a recent article, Christiansen and Chater (2016) present a fundamental constraint on language, i.e. a now-or-never bottleneck that arises from our fleeting memory, and explore its implications, e.g., chunk-and-pass processing, outlining a framework that promises to unify different areas of research. Here we explore additional support for this constraint and suggest further connections from quantitative linguistics and information theory.

Connected through hyperedge HE-1 (induced by source paper "anti dependency distance minimization in short sequences a graph theoretic approach"):
  with members:
    - "the placement of the head that maximizes predictability an information theoretic approach"
    - "towards a theory of word order comment on dependency distance a new perspective on syntactic patterns in natural language by haitao liu et al"
    - "scarcity of crossing dependencies a direct outcome of a specific constraint"
    - "non crossing dependencies least effort not grammar"
    - "liberating language research from dogmas of the 20th century"
    - "the risks of mixing dependency lengths from sequences of different length"
    - "random crossings in dependency trees"
    - "hubiness length crossings and their relationships in dependency trees"

Connected through hyperedge HE-2 (induced by source paper "the placement of the head that maximizes predictability an information theoretic approach"):
  with members:
    - "the polysemy of the words that children learn over time"
    - "compression and the origins of zipf s law for word frequencies"
    - "kauffman s adjacent possible in word order evolution"
    - "the placement of the head that minimizes online memory a complex systems approach"

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)