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: "nmt keras a very flexible toolkit with a focus on interactive nmt and online learning"
  Abstract: We present NMT-Keras, a flexible toolkit for training deep learning models, which puts a particular emphasis on the development of advanced applications of neural machine translation systems, such as interactive-predictive translation protocols and long-term adaptation of the translation system via continuous learning. NMT-Keras is based on an extended version of the popular Keras library, and it runs on Theano and Tensorflow. State-of-the-art neural machine translation models are deployed and used following the high-level framework provided by Keras. Given its high modularity and flexibility, it also has been extended to tackle different problems, such as image and video captioning, sentence classification and visual question answering.

Connected through hyperedge HE-1 (induced by source paper "interactive predictive neural multimodal systems"):
  with members:
    - "direct speech to speech translation with a sequence to sequence model"
    - "online learning for effort reduction in interactive neural machine translation"
    - "egocentric video description based on temporally linked sequences"
    - "learning transferable architectures for scalable image recognition"
    - "attention is all you need"
    - "six challenges for neural machine translation"
    - "video description using bidirectional recurrent neural networks"
    - "show attend and tell neural image caption generation with visual attention"

Connected through hyperedge HE-2 (induced by source paper "an interactive machine translation framework for modernizing historical documents"):
  with members:
    - "a call for clarity in reporting bleu scores"
    - "attention is all you need"
    - "convolutional sequence to sequence learning"
    - "improving historical spelling normalization with bi directional lstms and multi task learning"
    - "neural machine translation of rare words with subword units"
    - "adam a method for stochastic optimization"
    - "going deeper with convolutions"
    - "neural machine translation by jointly learning to align and translate"

Connected through hyperedge HE-3 (induced by source paper "online learning for effort reduction in interactive neural machine translation"):
  with members:
    - "a reinforcement learning approach to interactive predictive neural machine translation"
    - "active learning for interactive neural machine translation of data streams"
    - "online learning for neural machine translation post editing"
    - "attention is all you need"
    - "lexically constrained decoding for sequence generation using grid beam search"
    - "trainable greedy decoding for neural machine translation"
    - "massive exploration of neural machine translation architectures"
    - "convolutional sequence to sequence learning"

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)