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: "extending an information extraction tool set to central and eastern european languages"
  Abstract: Abstract In a highly multilingual and multi-cultural environment such as in the European Commission with soon over twenty official languages, there is an ur-gent need for text analysis tools that use minimal linguistic knowledge so that they can be adapted to many languages without much human effort. We are pre-senting two such Information Extraction tools that have already been adapted to various Western and Eastern European languages: one for the recognition of date expressions in text, and one for the detection of geographical place names and the visualisation of the results in geographical maps. An evaluation of the performance has produced very satisfy-ing results. 1 Introduction The international staff of the European Commis-sion (EC), like any other multinational organisa-tion, has to deal with documents written in many different languages. Multilingual text analysis tools can help them to be more efficient and to get access to information written in documents they may not understand. However, not many commercial text analysis tools exist that can ana-lyse texts in all official European Union (EU) languages, and we do not know of any tool that covers all of the over 20 languages that will be used after the planned Enlargement of the EU. The

Connected through hyperedge HE-1 (induced by source paper "a survey of methods to ease the development of highly multilingual text mining applications"):
  with members:
    - "sentiment analysis in the news"
    - "an introduction to the europe media monitor family of applications"
    - "the jrc acquis a multilingual aligned parallel corpus with 20 languages"

Connected through hyperedge HE-2 (induced by source paper "navigating multilingual news collections using automatically extracted information"):
  with members:
    - "exploiting multilingual nomenclatures and language independent text features as an interlingua for cross lingual text analysis applications"
    - "automatic annotation of multilingual text collections with a conceptual thesaurus"

Connected through hyperedge HE-3 (induced by source paper "automatic identification of document translations in large multilingual document collections"):
  with members:
    - "cross lingual keyword assignment"
    - "automatic annotation of multilingual text collections with a conceptual thesaurus"

Connected through hyperedge HE-4 (induced by source paper "exploiting multilingual nomenclatures and language independent text features as an interlingua for cross lingual text analysis applications"):
  with members:
    - "automatic identification of document translations in large multilingual document collections"
    - "automatic annotation of multilingual text collections with a conceptual thesaurus"

Connected through hyperedge HE-5 (induced by source paper "a tool set for the quick and efficient exploration of large document collections"):
  with members:
    - "exploiting multilingual nomenclatures and language independent text features as an interlingua for cross lingual text analysis applications"

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.CL(Computation and Language)