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 "on the vietnamese name entity recognition a deep learning method approach"):
  Abstract: Named entity recognition (NER) plays an important role in text-based information retrieval. In this paper, we combine Bidirectional Long Short-Term Memory (Bi-LSTM) \cite{hochreiter1997,schuster1997} with Conditional Random Field (CRF) \cite{lafferty2001} to create a novel deep learning model for the NER problem. Each word as input of the deep learning model is represented by a Word2vec-trained vector. A word embedding set trained from about one million articles in 2018 collected through a Vietnamese news portal (this http URL). In addition, we concatenate a Word2Vec\cite{mikolov2013}-trained vector with semantic feature vector (Part-Of-Speech (POS) tagging, chunk-tag) and hidden syntactic feature vector (extracted by Bi-LSTM nerwork) to achieve the (so far best) result in Vietnamese NER system. The result was conducted on the data set VLSP2016 (Vietnamese Language and Speech Processing 2016 \cite{vlsp2016}) competition.

Includes members:
  Member "neural chinese named entity recognition via cnn lstm crf and joint training with word segmentation":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "porous lattice based transformer encoder for chinese ner")
  Member "a feature rich vietnamese named entity recognition model":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "neural sequence labeling for vietnamese pos tagging and ner")
  Member "deep contextualized word representations":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "multi simlex a large scale evaluation of multilingual and cross lingual lexical semantic similarity")
  Member "a feature based model for nested named entity recognition at vlsp 2018 ner evaluation campaign":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "attentive neural network for named entity recognition in vietnamese")
  Member "semi supervised sequence modeling with cross view training":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "snippext semi supervised opinion mining with augmented data")
  Member "attentive neural network for named entity recognition in vietnamese":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "phobert pre trained language models for vietnamese")
  Member "application of a hybrid bi lstm crf model to the task of russian named entity recognition":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a morpho syntactically informed lstm crf model for named entity recognition")
  Member "nnvlp a neural network based vietnamese language processing toolkit":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "neural sequence labeling for vietnamese pos tagging and ner")

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)