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 "improving multi turn dialogue modelling with utterance rewriter"):
  Abstract: Recent research has made impressive progress in single-turn dialogue modelling. In the multi-turn setting, however, current models are still far from satisfactory. One major challenge is the frequently occurred coreference and information omission in our daily conversation, making it hard for machines to understand the real intention. In this paper, we propose rewriting the human utterance as a pre-process to help multi-turn dialgoue modelling. Each utterance is first rewritten to recover all coreferred and omitted information. The next processing steps are then performed based on the rewritten utterance. To properly train the utterance rewriter, we collect a new dataset with human annotations and introduce a Transformer-based utterance rewriting architecture using the pointer network. We show the proposed architecture achieves remarkably good performance on the utterance rewriting task. The trained utterance rewriter can be easily integrated into online chatbots and brings general improvement over different domains.

Includes members:
  Member "review driven answer generation for product related questions in e commerce":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "quantifying and alleviating the language prior problem in visual question answering")
  Member "sentence rewriting for semantic parsing":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "sequence to action end to end semantic graph generation for semantic parsing")
  Member "cota improving the speed and accuracy of customer support through ranking and deep networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "attention fusion networks combining behavior and e mail content to improve customer support")
  Member "retrieve and refine improved sequence generation models for dialogue":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "the second conversational intelligence challenge convai2")
  Member "fast abstractive summarization with reinforce selected sentence rewriting":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "structsum incorporating latent and explicit sentence dependencies for single document summarization")
  Member "an exploration of neural sequence to sequence architectures for automatic post editing":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "think again networks and the delta loss")
  Member "end to end neural coreference resolution":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "domain independent extraction of scientific concepts from research articles")
  Member "quickedit editing text translations by crossing words out":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "xl editor post editing sentences with xlnet")

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)