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 "syntactic interchangeability in word embedding models"):
  Abstract: Nearest neighbors in word embedding models are commonly observed to be semantically similar, but the relations between them can vary greatly. We investigate the extent to which word embedding models preserve syntactic interchangeability, as reflected by distances between word vectors, and the effect of hyper-parameters---context window size in particular. We use part of speech (POS) as a proxy for syntactic interchangeability, as generally speaking, words with the same POS are syntactically valid in the same contexts. We also investigate the relationship between interchangeability and similarity as judged by commonly-used word similarity benchmarks, and correlate the result with the performance of word embedding models on these benchmarks. Our results will inform future research and applications in the selection of word embedding model, suggesting a principle for an appropriate selection of the context window size parameter depending on the use-case.

Includes members:
  Member "a survey of word embeddings evaluation methods":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a common semantic space for monolingual and cross lingual meta embeddings")
  Member "concept2vec metrics for evaluating quality of embeddings for ontological concepts":
    also connected through other hyperedges:
      (none)
  Member "how to evaluate word embeddings on importance of data efficiency and simple supervised tasks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "gating mechanisms for combining character and word level word representations an empirical study")
  Member "redefining context windows for word embedding models an experimental study":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "creation and evaluation of datasets for distributional semantics tasks in the digital humanities domain")
  Member "improving reliability of word similarity evaluation by redesigning annotation task and performance measure":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a survey of word embeddings evaluation methods")
  Member "enriching word vectors with subword information":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "multi simlex a large scale evaluation of multilingual and cross lingual lexical semantic similarity")
  Member "unsupervised pos induction with word embeddings":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "compound probabilistic context free grammars for grammar induction")
  Member "a primer on neural network models for natural language processing":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "theory in theory out how social theory can solve problems that machine learning can t")

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)