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: "mathematical foundations for a compositional distributional model of meaning"
  Abstract: We propose a mathematical framework for a unification of the distributional theory of meaning in terms of vector space models, and a compositional theory for grammatical types, for which we rely on the algebra of Pregroups, introduced by Lambek. This mathematical framework enables us to compute the meaning of a well-typed sentence from the meanings of its constituents. Concretely, the type reductions of Pregroups are `lifted' to morphisms in a category, a procedure that transforms meanings of constituents into a meaning of the (well-typed) whole. Importantly, meanings of whole sentences live in a single space, independent of the grammatical structure of the sentence. Hence the inner-product can be used to compare meanings of arbitrary sentences, as it is for comparing the meanings of words in the distributional model. The mathematical structure we employ admits a purely diagrammatic calculus which exposes how the information flows between the words in a sentence in order to make up the meaning of the whole sentence. A variation of our `categorical model' which involves constraining the scalars of the vector spaces to the semiring of Booleans results in a Montague-style Boolean-valued semantics.

Connected through hyperedge HE-1 (induced by source paper "tensor networks for language modeling"):
  with members:
    - "singular value automata and approximate minimization"
    - "connecting weighted automata and recurrent neural networks through spectral learning"
    - "attention is all you need"
    - "controlling linguistic style aspects in neural language generation"
    - "language as a matrix product state"
    - "regularizing and optimizing lstm language models"
    - "tensor network language model"
    - "language design as information renormalization"

Connected through hyperedge HE-2 (induced by source paper "incremental monoidal grammars"):
  with members:
    - "exploring semantic incrementality with dynamic syntax and vector space semantics"
    - "thue s 1914 paper a translation"
    - "generalizing determinization from automata to coalgebras"
    - "experimental support for a categorical compositional distributional model of meaning"

Connected through hyperedge HE-3 (induced by source paper "the compositionality of neural networks integrating symbolism and connectionism"):
  with members:
    - "unsupervised recurrent neural network grammars"
    - "cnns found to jump around more skillfully than rnns compositional generalization in seq2seq convolutional networks"
    - "assessing bert s syntactic abilities"
    - "bert rediscovers the classical nlp pipeline"
    - "measuring compositionality in representation learning"
    - "analyzing the structure of attention in a transformer language model"
    - "what do you learn from context probing for sentence structure in contextualized word representations"
    - "the emergence of number and syntax units in lstm language models"

Connected through hyperedge HE-4 (induced by source paper "measuring compositionality in representation learning"):
  with members:
    - "compositional obverter communication learning from raw visual input"
    - "emergence of communication in an interactive world with consistent speakers"
    - "emergence of linguistic communication from referential games with symbolic and pixel input"
    - "emergence of language with multi agent games learning to communicate with sequences of symbols"
    - "analogs of linguistic structure in deep representations"
    - "natural language does not emerge naturally in multi agent dialog"
    - "emergence of grounded compositional language in multi agent populations"
    - "visual reference resolution using attention memory for visual dialog"

Connected through hyperedge HE-5 (induced by source paper "the mathematics of text structure"):
  with members:
    - "compositionality for recursive neural networks"
    - "static and dynamic vector semantics for lambda calculus models of natural language"
    - "towards compositional distributional discourse analysis"
    - "classical copying versus quantum entanglement in natural language the case of vp ellipsis"
    - "internal wiring of cartesian verbs and prepositions"
    - "from quantum foundations via natural language meaning to a theory of everything"
    - "the frobenius anatomy of word meanings ii possessive relative pronouns"
    - "coordination in categorical compositional distributional semantics"

Connected through hyperedge HE-6 (induced by source paper "compositional deep learning"):
  with members:
    - "characterizing the invariances of learning algorithms using category theory"
    - "augmented cyclegan learning many to many mappings from unpaired data"
    - "towards functorial language games"
    - "a style based generator architecture for generative adversarial networks"
    - "translating and evolving towards a model of language change in discocat"
    - "morphisms of open games"
    - "unpaired image to image translation using cycle consistent adversarial networks"
    - "improved training of wasserstein gans"

Connected through hyperedge HE-7 (induced by source paper "interacting conceptual spaces i grammatical composition of concepts"):
  with members:
    - "a thorough formalization of conceptual spaces"
    - "custom hypergraph categories via generalized relations"
    - "words concepts and the geometry of analogy"
    - "the frobenius anatomy of word meanings ii possessive relative pronouns"
    - "interacting conceptual spaces"
    - "graded entailment for compositional distributional semantics"
    - "open system categorical quantum semantics in natural language processing"
    - "reasoning about meaning in natural language with compact closed categories and frobenius algebras"

Connected through hyperedge HE-8 (induced by source paper "a typedriven vector semantics for ellipsis with anaphora using lambek calculus with limited contraction"):
  with members:
    - "classical copying versus quantum entanglement in natural language the case of vp ellipsis"
    - "a generalised quantifier theory of natural language in categorical compositional distributional semantics with bialgebras"
    - "quantifier scope in categorical compositional distributional semantics"
    - "the frobenius anatomy of word meanings ii possessive relative pronouns"
    - "coordination in categorical compositional distributional semantics"
    - "evaluating neural word representations in tensor based compositional settings"
    - "the frobenius anatomy of word meanings i subject and object relative pronouns"
    - "distributed representations of words and phrases and their compositionality"

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)