human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "anti dependency distance minimization in short sequences a graph theoretic approach"):
  Abstract: Dependency distance minimization (DDm) is a word order principle favouring the placement of syntactically related words close to each other in sentences. Massive evidence of the principle has been reported for more than a decade with the help of syntactic dependency treebanks where long sentences abound. However, it has been predicted theoretically that the principle is more likely to be beaten in short sequences by the principle of surprisal minimization (predictability maximization). Here we introduce a simple binomial test to verify such a hypothesis. In short sentences, we find anti-DDm for some languages from different families. Our analysis of the syntactic dependency structures suggests that anti-DDm is produced by star trees.

Includes members:
  Member "the placement of the head that maximizes predictability an information theoretic approach":
    also connected through other hyperedges:
      - Hyperedge HE-1 (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")
  Member "towards a theory of word order comment on dependency distance a new perspective on syntactic patterns in natural language by haitao liu et al":
    also connected through other hyperedges:
      (none)
  Member "scarcity of crossing dependencies a direct outcome of a specific constraint":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "edge crossings in random linear arrangements")
  Member "non crossing dependencies least effort not grammar":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "edge crossings in random linear arrangements")
  Member "liberating language research from dogmas of the 20th century":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "edge crossings in random linear arrangements")
  Member "a commentary on the now or never bottleneck a fundamental constraint on language by christiansen and chater 2016":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "the placement of the head that maximizes predictability an information theoretic approach")
  Member "the risks of mixing dependency lengths from sequences of different length":
    also connected through other hyperedges:
      - Hyperedge HE-6 (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")
  Member "random crossings in dependency trees":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "reappraising the distribution of the number of edge crossings of graphs on a sphere")

Question: Please tell me which class the source paper 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)