human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge groups papers that share a common citing paper.

Details of the hypergraph:
Center hyperedge (induced by source paper "Subsymbolic Case-Role Analysis of Sentences with Embedded Clauses"):
  Abstract: A distributed neural network model called SPEC for processing sentences with recursive relative clauses is described. The model is based on separating the tasks of segmenting the input word sequence into clauses, forming the case-role representations, and keeping track of the recursive embeddings into different modules. The system needs to be trained only with the basic sentence constructs, and it generalizes not only to new instances of familiar relative clause structures, but to novel structures as well. SPEC exhibits plausible memory degradation as the depth of the center embeddings increases, its memory is primed by earlier constituents, and its performance is aided by semantic constraints between the constituents. The ability to process structure is largely due to a central executive network that monitors and controls the execution of the entire system. This way, in contrast to earlier subsymbolic systems, parsing is modeled as a controlled high-level process rather than one based on automatic reflex responses.

Includes members:
  Member "Disambiguation and Grammar as Emergent Soft Constraints":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Book Review  Introduction to the Theory of Neural Computation Reviewed by: 2")
  Member "Learning Feature-based Semantics with Simple Recurrent Networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "On the Applicability of Neural Network and Machine Learning Methodologies to Natural Language Processing")

Question: Please tell me which class the citing paper (i.e., the source paper of the center hyperedge) belongs to. The 7 classes are: Neural_Networks, Reinforcement_Learning, Probabilistic_Methods, Theory, Genetic_Algorithms, Case_Based, Rule_Learning. Directly output the class name.

gpt: Neural_Networks