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 "minwikisplit a sentence splitting corpus with minimal propositions"):
  Abstract: We compiled a new sentence splitting corpus that is composed of 203K pairs of aligned complex source and simplified target sentences. Contrary to previously proposed text simplification corpora, which contain only a small number of split examples, we present a dataset where each input sentence is broken down into a set of minimal propositions, i.e. a sequence of sound, self-contained utterances with each of them presenting a minimal semantic unit that cannot be further decomposed into meaningful propositions. This corpus is useful for developing sentence splitting approaches that learn how to transform sentences with a complex linguistic structure into a fine-grained representation of short sentences that present a simple and more regular structure which is easier to process for downstream applications and thus facilitates and improves their performance.

Includes members:
  Member "transforming complex sentences into a semantic hierarchy":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "fact aware sentence split and rephrase with permutation invariant training")
  Member "semantic structural evaluation for text simplification":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "automatically extracting challenge sets for non local phenomena neural machine translation")
  Member "graphene semantically linked propositions in open information extraction":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "identifying supporting facts for multi hop question answering with document graph networks")
  Member "bleu is not suitable for the evaluation of text simplification":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "emptransfo a multi head transformer architecture for creating empathetic dialog systems")
  Member "neural network acceptability judgments":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "minilm deep self attention distillation for task agnostic compression of pre trained transformers")
  Member "learning to split and rephrase from wikipedia edit history":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "fact aware sentence split and rephrase with permutation invariant training")
  Member "split and rephrase":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "fact aware sentence split and rephrase with permutation invariant training")

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)