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: "cl scholar the acl anthology knowledge graph miner"
  Abstract: We present CL Scholar, the ACL Anthology knowledge graph miner to facilitate high-quality search and exploration of current research progress in the computational linguistics community. In contrast to previous works, periodically crawling, indexing and processing of new incoming articles is completely automated in the current system. CL Scholar utilizes both textual and network information for knowledge graph construction. As an additional novel initiative, CL Scholar supports more than 1200 scholarly natural language queries along with standard keyword-based search on constructed knowledge graph. It answers binary, statistical and list based natural language queries. The current system is deployed at this http URL We also provide REST API support along with bulk download facility. Our code and data are available at this https URL

Connected through hyperedge HE-1 (induced by source paper "a summarization system for scientific documents"):
  with members:
    - "scisummnet a large annotated corpus and content impact models for scientific paper summarization with citation networks"
    - "identification of tasks datasets evaluation metrics and numeric scores for scientific leaderboards construction"
    - "multi task identification of entities relations and coreference for scientific knowledge graph construction"
    - "tutorialbank a manually collected corpus for prerequisite chains survey extraction and resource recommendation"
    - "scientific paper summarization using citation summary networks"

Connected through hyperedge HE-2 (induced by source paper "when is acl s deadline a scientific conversational agent"):
  with members:
    - "grapal connecting the dots in scientific literature"
    - "grapal querying semantic scholar s literature graph"
    - "frames a corpus for adding memory to goal oriented dialogue systems"
    - "a deep reinforcement learning chatbot"
    - "learning end to end goal oriented dialog"

Connected through hyperedge HE-3 (induced by source paper "grapal connecting the dots in scientific literature"):
  with members:
    - "content based citation recommendation"
    - "a web scale system for scientific knowledge exploration"
    - "construction of the literature graph in semantic scholar"

Connected through hyperedge HE-4 (induced by source paper "nlpexplorer exploring the universe of nlp papers"):
  with members:
    - "ocr a robust framework for information extraction from scholarly articles"

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.DL(Digital Libraries)