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 "giving attention to the unexpected using prosody innovations in disfluency detection"):
  Abstract: Disfluencies in spontaneous speech are known to be associated with prosodic disruptions. However, most algorithms for disfluency detection use only word transcripts. Integrating prosodic cues has proved difficult because of the many sources of variability affecting the acoustic correlates. This paper introduces a new approach to extracting acoustic-prosodic cues using text-based distributional prediction of acoustic cues to derive vector z-score features (innovations). We explore both early and late fusion techniques for integrating text and prosody, showing gains over a high-accuracy text-only model.

Includes members:
  Member "multi attention recurrent network for human communication comprehension":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "gated mechanism for attention based multimodal sentiment analysis")
  Member "robust cross domain disfluency detection with pattern match networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "multi task self supervised learning for disfluency detection")
  Member "disfluency detection using auto correlational neural networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "multi task self supervised learning for disfluency detection")
  Member "disfluency detection using a noisy channel model and a deep neural language model":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "controllable time delay transformer for real time punctuation prediction and disfluency detection")
  Member "tensor fusion network for multimodal sentiment analysis":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "fgn fusion glyph network for chinese named entity recognition")
  Member "parsing speech a neural approach to integrating lexical and acoustic prosodic information":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "identification of primary and collateral tracks in stuttered speech")
  Member "disfluency detection using a bidirectional lstm":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "identification of primary and collateral tracks in stuttered speech")
  Member "show attend and tell neural image caption generation with visual attention":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "relationship embedded representation learning for grounding referring expressions")

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)