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 simplifying graph rewriting termination"
  Abstract: So far, a very large amount of work in Natural Language Processing (NLP) rely on trees as the coremathematical structure to represent linguistic informations (e.g. in Chomsky’s work). However,some linguistic phenomena do not cope properly with trees. In a former paper, we showed thebeneﬁt of encoding linguistic structures by graphs and of using graph rewriting rules to compute onthose structures. Justiﬁed by some linguistic considerations, graph rewriting is characterized by twofeatures: ﬁrst, there is no node creation along computations and second, there are non-local edgemodiﬁcations. Under these hypotheses, we show that uniform termination is undecidable and thatnon-uniform termination is decidable. We describe two termination techniques based on weights andwe give complexity bound on the derivation length for these rewriting systems.

Connected through hyperedge HE-1 (induced by source paper "kruskal s tree theorem for acyclic term graphs"):
  with members:
    - "proving termination of graph transformation systems using weighted type graphs over semirings"
    - "a combination framework for complexity"

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)