human: Given a node-centered hypergraph: <hypergraph>, where nodes represent authors and hyperedges represent groups of authors who co-authored the same paper.

Details of the hypergraph:
Center node: "A graph-based approach to WSD using relevant semantic trees and n-cliques model"
  Abstract: In this paper we propose a new graph-based approach to solve semantic ambiguity using a semantic net based on WordNet. Our proposal uses an adaptation of the Clique Partitioning Technique to extract sets of strongly related senses. For that, an initial graph is obtained from senses of WordNet combined with the information of several semantic categories from different resources: WordNet Domains, SUMO and WordNet Affect. In order to obtain the most relevant concepts in a sentence we use the Relevant Semantic Trees method. The evaluation of the results has been conducted using the test data set of Senseval-2 obtaining promising results.

Connected through hyperedge HE-1 (induced by source paper "Introduction to the special issue on word sense disambiguation: the state of the art"):
  with members:
    - "Learning rules for large vocabulary word sense disambiguation"
    - "Naive Bayes and Exemplar-based approaches to Word Sense Disambiguation revisited"
    - "Massively Parallel Parsing: A Strongly Interactive Model of Natural Language Interpretation*"
    - "Spam Filtering through Anomaly Detection"
    - "Framework and Results for French"

Question: Please tell me which research area the center author belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Computer science