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: "from logical to distributional models"
  Abstract: The paper relates two variants of semantic models for natural language, logical functional models and compositional distributional vector space models, by transferring the logic and reasoning from the logical to the distributional models. The geometrical operations of quantum logic are reformulated as algebraic operations on vectors. A map from functional models to vector space models makes it possible to compare the meaning of sentences word by word.

Connected through hyperedge HE-1 (induced by source paper "functorial question answering"):
  with members:
    - "relating structure and power comonadic semantics for computational resources"
    - "graphical conjunctive queries"
    - "estimating the cardinality of conjunctive queries over rdf data using graph summarisation"
    - "towards compositional distributional discourse analysis"
    - "a dichotomy theorem for nonuniform csps"
    - "knowledge representation in bicategories of relations"
    - "quantum algorithms for compositional natural language processing"
    - "the frobenius anatomy of word meanings i subject and object relative pronouns"

Connected through hyperedge HE-2 (induced by source paper "translating and evolving towards a model of language change in discocat"):
  with members:
    - "interacting conceptual spaces i grammatical composition of concepts"
    - "sentence entailment in compositional distributional semantics"
    - "loss in translation learning bilingual word mapping with a retrieval criterion"
    - "a generalised quantifier theory of natural language in categorical compositional distributional semantics with bialgebras"
    - "graded entailment for compositional distributional semantics"
    - "open system categorical quantum semantics in natural language processing"
    - "exploiting similarities among languages for machine translation"
    - "mathematical foundations for a compositional distributional model of meaning"

Connected through hyperedge HE-3 (induced by source paper "towards functorial language games"):
  with members:
    - "interacting conceptual spaces i grammatical composition of concepts"
    - "a compositional treatment of iterated open games"
    - "compositional game theory"
    - "graded entailment for compositional distributional semantics"
    - "open system categorical quantum semantics in natural language processing"
    - "distributional sentence entailment using density matrices"
    - "mathematical foundations for a compositional distributional model of meaning"

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.LO(Logic in Computer Science)