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 "sentence entailment in compositional distributional semantics"):
  Abstract: Distributional semantic models provide vector representations for words by gathering co-occurrence frequencies from corpora of text. Compositional distributional models extend these from words to phrases and sentences. In categorical compositional distributional semantics, phrase and sentence representations are functions of their grammatical structure and representations of the words therein. In this setting, grammatical structures are formalised by morphisms of a compact closed category and meanings of words are formalised by objects of the same category. These can be instantiated in the form of vectors or density matrices. This paper concerns the applications of this model to phrase and sentence level entailment. We argue that entropy-based distances of vectors and density matrices provide a good candidate to measure word-level entailment, show the advantage of density matrices over vectors for word level entailments, and prove that these distances extend compositionally from words to phrases and sentences. We exemplify our theoretical constructions on real data and a toy entailment dataset and provide preliminary experimental evidence.

Includes members:
  Member "a generalised quantifier theory of natural language in categorical compositional distributional semantics with bialgebras":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a typedriven vector semantics for ellipsis with anaphora using lambek calculus with limited contraction")
  Member "the frobenius anatomy of word meanings ii possessive relative pronouns":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "the mathematics of text structure")
  Member "coordination in categorical compositional distributional semantics":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "the mathematics of text structure")
  Member "graded entailment for compositional distributional semantics":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "the mathematics of text structure")
  Member "a frobenius model of information structure in categorical compositional distributional semantics":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "coordination in categorical compositional distributional semantics")
  Member "open system categorical quantum semantics in natural language processing":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "the mathematics of text structure")
  Member "distributional sentence entailment using density matrices":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "the mathematics of text structure")
  Member "evaluating neural word representations in tensor based compositional settings":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "deep image to video adaptation and fusion networks for action recognition")

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)