human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "is there anything else i can help you with challenges in deploying an on demand crowd powered conversational agent"
  Abstract: Intelligent conversational assistants, such as Apple's Siri, Microsoft's Cortana, and Amazon's Echo, have quickly become a part of our digital life. However, these assistants have major limitations, which prevents users from conversing with them as they would with human dialog partners. This limits our ability to observe how users really want to interact with the underlying system. To address this problem, we developed a crowd-powered conversational assistant, Chorus, and deployed it to see how users and workers would interact together when mediated by the system. Chorus sophisticatedly converses with end users over time by recruiting workers on demand, which in turn decide what might be the best response for each user sentence. Up to the first month of our deployment, 59 users have held conversations with Chorus during 320 conversational sessions. In this paper, we present an account of Chorus' deployment, with a focus on four challenges: (i) identifying when conversations are over, (ii) malicious users and workers, (iii) on-demand recruiting, and (iv) settings in which consensus is not enough. Our observations could assist the deployment of crowd-powered conversation systems and crowd-powered systems in general.

Connected through hyperedge HE-1 (induced by source paper "instructablecrowd creating if then rules for smartphones via conversations with the crowd"):
  with members:
    - "evorus a crowd powered conversational assistant built to automate itself over time"
    - "latent attention for if then program synthesis"
    - "language to logical form with neural attention"

Connected through hyperedge HE-2 (induced by source paper "on automating conversations"):
  with members:
    - "instructablecrowd creating if then rules for smartphones via conversations with the crowd"

Connected through hyperedge HE-3 (induced by source paper "crowd coach peer coaching for crowd workers skill growth"):
  with members:
    - "exploring blockchain for trustful collaborations between immigrants and governments"
    - "crowd guilds worker led reputation and feedback on crowdsourcing platforms"
    - "a data driven analysis of workers earnings on amazon mechanical turk"
    - "redes sociales participacion ciudadana y la hipotesis del slacktivismo lecciones del caso de el bronco social media civic engagement and the slacktivism hypothesis lessons from mexico s el bronco"
    - "parlai a dialog research software platform"
    - "botivist calling volunteers to action using online bots"
    - "atelier repurposing expert crowdsourcing tasks as micro internships"

Connected through hyperedge HE-4 (induced by source paper "evorus a crowd powered conversational assistant built to automate itself over time"):
  with members:
    - "real time on demand crowd powered entity extraction"
    - "end to end task completion neural dialogue systems"
    - "dialport connecting the spoken dialog research community to real user data"
    - "a persona based neural conversation model"
    - "multi domain neural network language generation for spoken dialogue systems"
    - "dialogue manager domain adaptation using gaussian process reinforcement learning"
    - "end to end joint learning of natural language understanding and dialogue manager"

Connected through hyperedge HE-5 (induced by source paper "touch your heart a tone aware chatbot for customer care on social media"):
  with members:
    - "evorus a crowd powered conversational assistant built to automate itself over time"
    - "emotional chatting machine emotional conversation generation with internal and external memory"
    - "how may i help you modeling twitter customer serviceconversations using fine grained dialogue acts"
    - "a persona based neural conversation model"
    - "empirical evaluation of gated recurrent neural networks on sequence modeling"
    - "sequence to sequence learning with neural networks"

Connected through hyperedge HE-6 (induced by source paper "crowdsourcing for reminiscence chatbot design"):
  with members:
    - "smart conversational agents for reminiscence"
    - "understanding task design trade offs in crowdsourced paraphrase collection"
    - "designing for older adults review of touchscreen design guidelines"

Connected through hyperedge HE-7 (induced by source paper "cicero multi turn contextual argumentation for accurate crowdsourcing"):
  with members:
    - "working in pairs understanding the effects of worker interactions in crowdwork"

Connected through hyperedge HE-8 (induced by source paper "challenges in providing automatic affective feedback in instant messaging applications"):
  with members:
    - "dialport connecting the spoken dialog research community to real user data"
    - "emoji2vec learning emoji representations from their description"
    - "sensing emotions in text messages an application and deployment study of emotionpush"
    - "efficient estimation of word representations in vector space"
    - "distributed representations of words and phrases and their compositionality"

Question: Please tell me which class the center node 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.HC(Human-Computer Interaction)