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: "inducing a semantically annotated lexicon via em based clustering"
  Abstract: We present a technique for automatic induction of slot annotations for subcategorization frames, based on induction of hidden classes in the EM framework of statistical estimation. The models are empirically evalutated by a general decision test. Induction of slot labeling for subcategorization frames is accomplished by a further application of EM, and applied experimentally on frame observations derived from parsing large corpora. We outline an interpretation of the learned representations as theoretical-linguistic decompositional lexical entries.

Connected through hyperedge HE-1 (induced by source paper "multiplex word embeddings for selectional preference acquisition"):
  with members:
    - "incorporating context and external knowledge for pronoun coreference resolution"
    - "knowledge aware pronoun coreference resolution"
    - "sp 10k a large scale evaluation set for selectional preference acquisition"
    - "deep contextualized word representations"
    - "higher order coreference resolution with coarse to fine inference"
    - "bert pre training of deep bidirectional transformers for language understanding"
    - "measuring thematic fit with distributional feature overlap"
    - "dynamics of core of language vocabulary"

Connected through hyperedge HE-2 (induced by source paper "sp 10k a large scale evaluation set for selectional preference acquisition"):
  with members:
    - "higher order coreference resolution with coarse to fine inference"
    - "measuring thematic fit with distributional feature overlap"
    - "revisiting selectional preferences for coreference resolution"
    - "simlex 999 evaluating semantic models with genuine similarity estimation"

Connected through hyperedge HE-3 (induced by source paper "inducing domain specific sentiment lexicons from unlabeled corpora"):
  with members:
    - "ultradense word embeddings by orthogonal transformation"
    - "empath understanding topic signals in large scale text"
    - "diachronic word embeddings reveal statistical laws of semantic change"
    - "overcoming language variation in sentiment analysis with social attention"
    - "distributed representations of words and phrases and their compositionality"
    - "from frequency to meaning vector space models of semantics"
    - "measuring praise and criticism inference of semantic orientation from association"

Connected through hyperedge HE-4 (induced by source paper "learning frames from text with an unsupervised latent variable model"):
  with members:
    - "probabilistic frame induction"
    - "topic models conditioned on arbitrary features with dirichlet multinomial regression"
    - "a reliable effective terascale linear learning system"
    - "syntactic topic models"

Connected through hyperedge HE-5 (induced by source paper "acquiring word meaning mappings for natural language interfaces"):
  with members:
    - "noun phrase co occurrence statistics for semi automatic semantic lexicon construction"
    - "committee based sample selection for probabilistic classifiers"
    - "a probabilistic approach to lexical semantic knowledge acquisition and structural disambiguation"

Connected through hyperedge HE-6 (induced by source paper "exploiting auxiliary distributions in stochastic unification based grammars"):
  with members:
    - "estimators for stochastic unification based grammars"

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)