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: "non crossing dependencies least effort not grammar"
  Abstract: The use of null hypotheses (in a statistical sense) is common in hard sciences but not in theoretical linguistics. Here the null hypothesis that the low frequency of syntactic dependency crossings is expected by an arbitrary ordering of words is rejected. It is shown that this would require star dependency structures, which are both unrealistic and too restrictive. The hypothesis of the limited resources of the human brain is revisited. Stronger null hypotheses taking into account actual dependency lengths for the likelihood of crossings are presented. Those hypotheses suggests that crossings are likely to reduce when dependencies are shortened. A hypothesis based on pressure to reduce dependency lengths is more parsimonious than a principle of minimization of crossings or a grammatical ban that is totally dissociated from the general and non-linguistic principle of economy.

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"
    - "liberating language research from dogmas of the 20th century"
    - "a commentary on the now or never bottleneck a fundamental constraint on language by christiansen and chater 2016"
    - "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 "edge crossings in random linear arrangements"):
  with members:
    - "on the maximum crossing number"
    - "crossing patterns in nonplanar road networks"
    - "scarcity of crossing dependencies a direct outcome of a specific constraint"
    - "crossings as a side effect of dependency lengths"
    - "liberating language research from dogmas of the 20th century"
    - "a stronger null hypothesis for crossing dependencies"
    - "random crossings in dependency trees"
    - "practical graph isomorphism ii"

Connected through hyperedge HE-3 (induced by source paper "towards a theory of word order comment on dependency distance a new perspective on syntactic patterns in natural language by haitao liu et al"):
  with members:
    - "the placement of the head that maximizes predictability an information theoretic approach"
    - "kauffman s adjacent possible in word order evolution"
    - "reply to the commentary be careful when assuming the obvious by p alday"
    - "the risks of mixing dependency lengths from sequences of different length"
    - "a stronger null hypothesis for crossing dependencies"
    - "the placement of the head that minimizes online memory a complex systems approach"
    - "why sov might be initially preferred and then lost or recovered a theoretical framework"

Connected through hyperedge HE-4 (induced by source paper "on the relation between dependency distance crossing dependencies and parsing comment on dependency distance a new perspective on syntactic patterns in natural languages by haitao liu et al"):
  with members:
    - "syntaxnet models for the conll 2017 shared task"
    - "scarcity of crossing dependencies a direct outcome of a specific constraint"
    - "globally normalized transition based neural networks"
    - "simple and accurate dependency parsing using bidirectional lstm feature representations"
    - "crossings as a side effect of dependency lengths"
    - "transition based dependency parsing with stack long short term memory"

Connected through hyperedge HE-5 (induced by source paper "scarcity of crossing dependencies a direct outcome of a specific constraint"):
  with members:
    - "crossings as a side effect of dependency lengths"
    - "the risks of mixing dependency lengths from sequences of different length"
    - "a stronger null hypothesis for crossing dependencies"
    - "random crossings in dependency trees"
    - "hubiness length crossings and their relationships in dependency trees"
    - "why sov might be initially preferred and then lost or recovered a theoretical framework"

Connected through hyperedge HE-6 (induced by source paper "can chunking reduce syntactic complexity of natural languages"):
  with members:
    - "crossings as a side effect of dependency lengths"
    - "complexity measurement of natural and artificial languages"
    - "a stronger null hypothesis for crossing dependencies"
    - "menzerath altmann law for syntactic structures in ukrainian"

Connected through hyperedge HE-7 (induced by source paper "random crossings in dependency trees"):
  with members:
    - "a stronger null hypothesis for crossing dependencies"

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)