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 "latent dirichlet allocation based organisation of broadcast media archives for deep neural network adaptation"):
  Abstract: This paper presents a new method for the discovery of latent domains in diverse speech data, for the use of adaptation of Deep Neural Networks (DNNs) for Automatic Speech Recognition. Our work focuses on transcription of multi-genre broadcast media, which is often only categorised broadly in terms of high level genres such as sports, news, documentary, etc. However, in terms of acoustic modelling these categories are coarse. Instead, it is expected that a mixture of latent domains can better represent the complex and diverse behaviours within a TV show, and therefore lead to better and more robust performance. We propose a new method, whereby these latent domains are discovered with Latent Dirichlet Allocation, in an unsupervised manner. These are used to adapt DNNs using the Unique Binary Code (UBIC) representation for the LDA domains. Experiments conducted on a set of BBC TV broadcasts, with more than 2,000 shows for training and 47 shows for testing, show that the use of LDA-UBIC DNNs reduces the error up to 13% relative compared to the baseline hybrid DNN models.

Includes members:
  Member "unsupervised domain discovery using latent dirichlet allocation for acoustic modelling in speech recognition":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "latent dirichlet allocation based acoustic data selection for automatic speech recognition")
  Member "the 2015 sheffield system for transcription of multi genre broadcast media":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "latent dirichlet allocation based acoustic data selection for automatic speech recognition")
  Member "the usfd spoken language translation system for iwslt 2014":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "automatic genre and show identification of broadcast media")
  Member "data selective transfer learning for multi domain speech recognition":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "adversarial domain adaptation for machine reading comprehension")
  Member "background tracking acoustic features for genre identification of broadcast shows":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "unsupervised domain discovery using latent dirichlet allocation for acoustic modelling in speech recognition")

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)