human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "coco cn for cross lingual image tagging captioning and retrieval"):
  Abstract: This paper contributes to cross-lingual image annotation and retrieval in terms of data and methods. We propose COCO-CN, a novel dataset enriching MS-COCO with manually written Chinese sentences and tags. For more effective annotation acquisition, we develop a recommendation-assisted collective annotation system, automatically providing an annotator with several tags and sentences deemed to be relevant with respect to the pictorial content. Having 20,342 images annotated with 27,218 Chinese sentences and 70,993 tags, COCO-CN is currently the largest Chinese-English dataset applicable for cross-lingual image tagging, captioning and retrieval. We develop methods per task for effectively learning from cross-lingual resources. Extensive experiments on the multiple tasks justify the viability of our dataset and methods.

Includes members:
  Member "self supervised video hashing with hierarchical binary auto encoder":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "fine grained instance level sketch based video retrieval")
  Member "causally regularized learning with agnostic data selection bias":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "stable prediction with model misspecification and agnostic distribution shift")
  Member "predicting visual features from text for image and video caption retrieval":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "video storytelling textual summaries for events")
  Member "imagination improves multimodal translation":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "countering language drift via visual grounding")
  Member "using artificial tokens to control languages for multilingual image caption generation":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "vatex a large scale high quality multilingual dataset for video and language research")
  Member "ai challenger a large scale dataset for going deeper in image understanding":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "deep high resolution representation learning for human pose estimation")
  Member "an overview of cross media retrieval concepts methodologies benchmarks and challenges":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "learning cross modal embeddings with adversarial networks for cooking recipes and food images")
  Member "image pivoting for learning multilingual multimodal representations":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "mule multimodal universal language embedding")

Question: Please tell me which class the source paper 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)