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 "words of estimative correlation studying verbalizations of scatterplots"):
  Abstract: Multimodal approaches where interactive visualization and natural language are used in tandem are emerging as promising techniques for data analysis. A significant barrier in effectively designing such multimodal techniques is the lack of a systematic understanding of how people verbalize visual representations of data. Motivated by these gaps, this paper devises and applies a transferable, semi-automated methodology to systematically study the relation between visualization and natural language through two crowd-sourced experiments and natural language analysis. We describe these experiments, analyze the resulting corpus of utterances with natural language processing techniques and derive an empirically supported semantic lexicon for aligning visualizations and verbalizations of data. Our results indicate a wide range of vocabulary used to describe visualizations and led to a number of high level concepts to categorize the space of words and related utterances. We discuss how our findings can be used for natural language generation, also reflecting on the design of the experiments and the semi-automated methodology used in the analysis. We discuss further research directions and argue for a role for such multimodal experiments in advancing our understanding of how people work with visualizations and also data at large.

Includes members:
  Member "exploranative code quality documents":
    also connected through other hyperedges:
      (none)
  Member "acquiring correct knowledge for natural language generation":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "extracting linguistic resources from the web for concept to text generation")
  Member "noun phrase co occurrence statistics for semi automatic semantic lexicon construction":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "multi context term embeddings the use case of corpus based term set expansion")

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.HC(Human-Computer Interaction)