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: "building hierarchies of concepts via crowdsourcing"
  Abstract: Hierarchies of concepts are useful in many applications from navigation to organization of objects. Usually, a hierarchy is created in a centralized manner by employing a group of domain experts, a time-consuming and expensive process. The experts often design one single hierarchy to best explain the semantic relationships among the concepts, and ignore the natural uncertainty that may exist in the process. In this paper, we propose a crowdsourcing system to build a hierarchy and furthermore capture the underlying uncertainty. Our system maintains a distribution over possible hierarchies and actively selects questions to ask using an information gain criterion. We evaluate our methodology on simulated data and on a set of real world application domains. Experimental results show that our system is robust to noise, efficient in picking questions, cost-effective and builds high quality hierarchies.

Connected through hyperedge HE-1 (induced by source paper "machine learning with world knowledge the position and survey"):
  with members:
    - "solving hard coreference problems"
    - "a neural knowledge language model"
    - "harnessing deep neural networks with logic rules"
    - "visual genome connecting language and vision using crowdsourced dense image annotations"
    - "cross lingual dataless classification for languages with small wikipedia presence"
    - "world knowledge as indirect supervision for document clustering"
    - "google s multilingual neural machine translation system enabling zero shot translation"
    - "a restricted visual turing test for deep scene and event understanding"

Connected through hyperedge HE-2 (induced by source paper "kgeval estimating accuracy of automatically constructed knowledge graphs"):
  with members:
    - "top k querying of unknown values under order constraints"
    - "adaptive crowdsourcing algorithms for the bandit survey problem"
    - "probabilistic similarity logic"
    - "budget optimal task allocation for reliable crowdsourcing systems"

Connected through hyperedge HE-3 (induced by source paper "it s just a matter of perspective s crowd powered consensus organization of corpora"):
  with members:
    - "learning concept embeddings with combined human machine expertise"
    - "crowder crowdsourcing entity resolution"
    - "human assisted graph search it s okay to ask questions"
    - "adaptively learning the crowd kernel"

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.AI(Artificial Intelligence)