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 "convolutional neural networks for chemical disease relation extraction are improved with character based word embeddings"):
  Abstract: We investigate the incorporation of character-based word representations into a standard CNN-based relation extraction model. We experiment with two common neural architectures, CNN and LSTM, to learn word vector representations from character embeddings. Through a task on the BioCreative-V CDR corpus, extracting relationships between chemicals and diseases, we show that models exploiting the character-based word representations improve on models that do not use this information, obtaining state-of-the-art result relative to previous neural approaches.

Includes members:
  Member "relation extraction a survey":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "biomedical relation extraction with pre trained language representations and minimal task specific architecture")
  Member "deep residual learning for weakly supervised relation extraction":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "long tail relation extraction via knowledge graph embeddings and graph convolution networks")
  Member "attention is all you need":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "using a thousand optimization tasks to learn hyperparameter search strategies")
  Member "attending to all mention pairs for full abstract biological relation extraction":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "knowledge guided convolutional networks for chemical disease relation extraction")
  Member "a novel neural network model for joint pos tagging and graph based dependency parsing":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "an augmented transformer architecture for natural language generation tasks")
  Member "incorporating relation paths in neural relation extraction":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "neural logic machines")
  Member "distant supervision for relation extraction beyond the sentence boundary":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "leveraging dependency forest for neural medical relation extraction")
  Member "multilingual part of speech tagging with bidirectional long short term memory models and auxiliary loss":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "distant supervision and noisy label learning for low resource named entity recognition a study on hausa and yor ub a")

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)