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 "improving semantic composition with offset inference"):
  Abstract: Count-based distributional semantic models suffer from sparsity due to unobserved but plausible co-occurrences in any text collection. This problem is amplified for models like Anchored Packed Trees (APTs), that take the grammatical type of a co-occurrence into account. We therefore introduce a novel form of distributional inference that exploits the rich type structure in APTs and infers missing data by the same mechanism that is used for semantic composition.

Includes members:
  Member "learning semantically and additively compositional distributional representations":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "locality and compositionality in zero shot learning")
  Member "aligning packed dependency trees a theory of composition for distributional semantics":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "temporal and aspectual entailment")
  Member "discriminative neural sentence modeling by tree based convolution":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "topic sensitive attention on generic corpora corrects sense bias in pretrained embeddings")
  Member "a study of entanglement in a categorical framework of natural language":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "the mathematics of text structure")
  Member "distributed tree kernels":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "high fidelity vector space models of structured data")
  Member "domain and function a dual space model of semantic relations and compositions":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "multi simlex a large scale evaluation of multilingual and cross lingual lexical semantic similarity")
  Member "experimental support for a categorical compositional distributional model of meaning":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "incremental monoidal grammars")
  Member "concrete sentence spaces for compositional distributional models of meaning":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "machine translation a literature review")

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)