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: "su rug at the conll sigmorphon 2017 shared task morphological inflection with attentional sequence to sequence models"
  Abstract: This paper describes the Stockholm University/University of Groningen (SU-RUG) system for the SIGMORPHON 2017 shared task on morphological inflection. Our system is based on an attentional sequence-to-sequence neural network model using Long Short-Term Memory (LSTM) cells, with joint training of morphological inflection and the inverse transformation, i.e. lemmatization and morphological analysis. Our system outperforms the baseline with a large margin, and our submission ranks as the 4th best team for the track we participate in (task 1, high-resource).

Connected through hyperedge HE-1 (induced by source paper "universal lemmatizer a sequence to sequence model for lemmatizing universal dependencies treebanks"):
  with members:
    - "universal dependency parsing from scratch"
    - "marrying universal dependencies and universal morphology"
    - "conll sigmorphon 2017 shared task universal morphological reinflection in 52 languages"
    - "opennmt open source toolkit for neural machine translation"
    - "unlabeled data for morphological generation with character based sequence to sequence models"
    - "deep biaffine attention for neural dependency parsing"
    - "effective approaches to attention based neural machine translation"
    - "neural machine translation of rare words with subword units"

Connected through hyperedge HE-2 (induced by source paper "from phonology to syntax unsupervised linguistic typology at different levels with language embeddings"):
  with members:
    - "past present future a computational investigation of the typology of tense in 1000 languages"
    - "conll sigmorphon 2017 shared task universal morphological reinflection in 52 languages"
    - "learning language representations for typology prediction"
    - "probabilistic typology deep generative models of vowel inventories"
    - "encoding of phonology in a recurrent neural model of grounded speech"
    - "massively multilingual neural grapheme to phoneme conversion"
    - "tracking typological traits of uralic languages in distributed language representations"
    - "continuous multilinguality with language vectors"

Connected through hyperedge HE-3 (induced by source paper "conll sigmorphon 2017 shared task universal morphological reinflection in 52 languages"):
  with members:
    - "multi space variational encoder decoders for semi supervised labeled sequence transduction"
    - "neural machine translation by jointly learning to align and translate"
    - "sequence to sequence learning with neural networks"

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)