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: "bidirectional attention for sql generation"
  Abstract: Generating structural query language (SQL) queries from natural language is a long-standing open problem and has been attracting considerable interest recently, driven by the explosive development of deep learning techniques. Toward solving the problem, we leverage the structure of SQL queries and present a sketch-based approach or synthesizing way to solve this problem, which turns the solving method to a sequence-to-set problem and word order generation problem. We employ the bidirectional attention mechanisms and character level embedding to further improve the result. Experimental evaluations show that our model achieves the state-of-the-art results in WikiSQL dataset.

Connected through hyperedge HE-1 (induced by source paper "semantic parsing with syntax and table aware sql generation"):
  with members:
    - "seq2sql generating structured queries from natural language using reinforcement learning"
    - "sqlnet generating structured queries from natural language without reinforcement learning"
    - "inferring and executing programs for visual reasoning"
    - "from language to programs bridging reinforcement learning and maximum marginal likelihood"
    - "learning to reason end to end module networks for visual question answering"
    - "weakly supervised semantic parsing with abstract examples"
    - "type and content driven synthesis of sql queries from natural language"
    - "learning a neural semantic parser from user feedback"

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)