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 "an integrated framework for treebanks and multilayer annotations"):
  Abstract: Treebank formats and associated software tools are proliferating rapidly, with little consideration for interoperability. We survey a wide variety of treebank structures and operations, and show how they can be mapped onto the annotation graph model, and leading to an integrated framework encompassing tree and non-tree annotations alike. This development opens up new possibilities for managing and exploiting multilayer annotations.

Includes members:
  Member "creating annotation tools with the annotation graph toolkit":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a concise query language with search and transform operations for corpora with multiple levels of annotation")
  Member "querying databases of annotated speech":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "annotation graphs and servers and multi modal resources infrastructure for interdisciplinary education research and development")
  Member "tabletrans multitrans intertrans and treetrans diverse tools built on the annotation graph toolkit":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "temporal provenance model tpm model and query language")
  Member "towards a query language for annotation graphs":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a concise query language with search and transform operations for corpora with multiple levels of annotation")
  Member "a formal framework for linguistic annotation":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "longitudinal analysis of discussion topics in an online breast cancer community using convolutional neural networks")

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)