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 "meld a multimodal multi party dataset for emotion recognition in conversations"):
  Abstract: Emotion recognition in conversations is a challenging task that has recently gained popularity due to its potential applications. Until now, however, a large-scale multimodal multi-party emotional conversational database containing more than two speakers per dialogue was missing. Thus, we propose the Multimodal EmotionLines Dataset (MELD), an extension and enhancement of EmotionLines. MELD contains about 13,000 utterances from 1,433 dialogues from the TV-series Friends. Each utterance is annotated with emotion and sentiment labels, and encompasses audio, visual and textual modalities. We propose several strong multimodal baselines and show the importance of contextual and multimodal information for emotion recognition in conversations. The full dataset is available for use at http:// this http URL.

Includes members:
  Member "emotion recognition in conversation research challenges datasets and recent advances":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "knowledge enriched transformer for emotion detection in textual conversations")
  Member "multimodal sentiment analysis using hierarchical fusion with context modeling":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "modality to modality translation an adversarial representation learning and graph fusion network for multimodal fusion")
  Member "emotionlines an emotion corpus of multi party conversations":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "eda enriching emotional dialogue acts using an ensemble of neural annotators")
  Member "towards empathetic open domain conversation models a new benchmark and dataset":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "emptransfo a multi head transformer architecture for creating empathetic dialog systems")
  Member "dialoguernn an attentive rnn for emotion detection in conversations":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "multi task learning network for emotion recognition in conversation")
  Member "emotional chatting machine emotional conversation generation with internal and external memory":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "an empirical investigation of pre trained transformer language models for open domain dialogue generation")
  Member "tensor fusion network for multimodal sentiment analysis":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "fgn fusion glyph network for chinese named entity recognition")
  Member "a persona based neural conversation model":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "non autoregressive neural dialogue generation")

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)