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: "Introduction to the special issue on word sense disambiguation: the state of the art"
  Abstract: Compte tenu du progres effectue recemment dans le domaine de la desambiguisation du sens des mots, les As. font ici le point sur l'etat de la recherche dans ce domaine depuis ces 50 dernieres annees et considerent les prochaines etapes a franchir. Dans un 1 e r temps, ils passent en revue les principales approches de la desambiguisation du sens des mots : des premieres tentatives effectuees dans le cadre de la traduction automatique aux methodes actuelles basees sur les corpus, en passant par les methodes basees sur l'intelligence artificielle et les methodes utilisant des bases de connaissance. Dans un 2 n d temps, ils examinent les problemes laisses en suspens (le role du contexte, la division des sens, l'evaluation des resultats) et proposent quelques orientations pour la recherche future

Connected through hyperedge HE-1 (induced by source paper "Naive Bayes and Exemplar-based approaches to Word Sense Disambiguation revisited"):
  with members:
    - "Training a naive bayes classifier via the EM algorithm with a class distribution constraint"

Connected through hyperedge HE-2 (induced by source paper "Massively Parallel Parsing: A Strongly Interactive Model of Natural Language Interpretation*"):
  with members:
    - "Passing Markers: A Theory of Contextual Influence in Language Comprehension*"
    - "Integration of semantic and syntactic constraints for structural noun phrase disambiguation"

Connected through hyperedge HE-3 (induced by source paper "A graph-based approach to WSD using relevant semantic trees and n-cliques model"):
  with members:
    (none)

Connected through hyperedge HE-4 (induced by source paper "Learning rules for large vocabulary word sense disambiguation"):
  with members:
    - "Class normalization in centroid-based text categorization"

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