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: "multiwiki interlingual text passage alignment in wikipedia"
  Abstract: In this article, we address the problem of text passage alignment across interlingual article pairs in Wikipedia. We develop methods that enable the identification and interlinking of text passages written in different languages and containing overlapping information. Interlingual text passage alignment can enable Wikipedia editors and readers to better understand language-specific context of entities, provide valuable insights in cultural differences, and build a basis for qualitative analysis of the articles. An important challenge in this context is the tradeoff between the granularity of the extracted text passages and the precision of the alignment. Whereas short text passages can result in more precise alignment, longer text passages can facilitate a better overview of the differences in an article pair. To better understand these aspects from the user perspective, we conduct a user study at the example of the German, Russian, and English Wikipedia and collect a user-annotated benchmark. Then we propose MultiWiki, a method that adopts an integrated approach to the text passage alignment using semantic similarity measures and greedy algorithms and achieves precise results with respect to the user-defined alignment. The MultiWiki demonstration is publicly available and currently supports four language pairs.

Connected through hyperedge HE-1 (induced by source paper "ccmatrix mining billions of high quality parallel sentences on the web"):
  with members:
    - "reducing transformer depth on demand with structured dropout"
    - "ccnet extracting high quality monolingual datasets from web crawl data"
    - "wikimatrix mining 135m parallel sentences in 1620 language pairs from wikipedia"
    - "achieving human parity on automatic chinese to english news translation"
    - "effective parallel corpus mining using bilingual sentence embeddings"
    - "filtering and mining parallel data in a joint multilingual space"
    - "learning word vectors for 157 languages"
    - "margin based parallel corpus mining with multilingual sentence embeddings"

Connected through hyperedge HE-2 (induced by source paper "crosslingual document embedding as reduced rank ridge regression"):
  with members:
    - "unsupervised cross lingual information retrieval using monolingual data only"
    - "structuring wikipedia articles with section recommendations"
    - "offline bilingual word vectors orthogonal transformations and the inverted softmax"
    - "cross language question re ranking"
    - "word translation without parallel data"
    - "massively multilingual word embeddings"
    - "cross lingual morphological tagging for low resource languages"
    - "improving zero shot learning by mitigating the hubness problem"

Connected through hyperedge HE-3 (induced by source paper "wikimatrix mining 135m parallel sentences in 1620 language pairs from wikipedia"):
  with members:
    - "fairseq a fast extensible toolkit for sequence modeling"
    - "achieving human parity on automatic chinese to english news translation"
    - "sentencepiece a simple and language independent subword tokenizer and detokenizer for neural text processing"
    - "effective parallel corpus mining using bilingual sentence embeddings"
    - "filtering and mining parallel data in a joint multilingual space"
    - "when and why are pre trained word embeddings useful for neural machine translation"
    - "a call for clarity in reporting bleu scores"
    - "margin based parallel corpus mining with multilingual sentence embeddings"

Connected through hyperedge HE-4 (induced by source paper "eventkg the hub of event knowledge on the web and biographical timeline generation"):
  with members:
    - "towards better understanding researcher strategies in cross lingual event analytics"
    - "eventkg tl creating cross lingual timelines from an event centric knowledge graph"
    - "eventkg a multilingual event centric temporal knowledge graph"
    - "ongoing events in wikipedia a cross lingual case study"
    - "learning to generate one sentence biographies from wikidata"
    - "neural text generation from structured data with application to the biography domain"
    - "history by diversity helping historians search news archives"
    - "timemachine timeline generation for knowledge base entities"

Connected through hyperedge HE-5 (induced by source paper "towards better understanding researcher strategies in cross lingual event analytics"):
  with members:
    - "eventkg a multilingual event centric temporal knowledge graph"
    - "archiveweb collaboratively extending and exploring web archive collections how would you like to work with your collections"
    - "extracting event centric document collections from large scale web archives"
    - "analysing temporal evolution of interlingual wikipedia article pairs"
    - "understanding editing behaviors in multilingual wikipedia"
    - "icrawl improving the freshness of web collections by integrating social web and focused web crawling"

Connected through hyperedge HE-6 (induced by source paper "eventkg a multilingual event centric temporal knowledge graph"):
  with members:
    - "inferring missing categorical information in noisy and sparse web markup"
    - "eventkg tl creating cross lingual timelines from an event centric knowledge graph"
    - "ongoing events in wikipedia a cross lingual case study"
    - "icrawl improving the freshness of web collections by integrating social web and focused web crawling"
    - "timemachine timeline generation for knowledge base entities"

Connected through hyperedge HE-7 (induced by source paper "eventkg tl creating cross lingual timelines from an event centric knowledge graph"):
  with members:
    - "eventkg a multilingual event centric temporal knowledge graph"
    - "ongoing events in wikipedia a cross lingual case study"
    - "icrawl improving the freshness of web collections by integrating social web and focused web crawling"
    - "timemachine timeline generation for knowledge base entities"

Connected through hyperedge HE-8 (induced by source paper "ongoing events in wikipedia a cross lingual case study"):
  with members:
    - "how much is wikipedia lagging behind news"

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)