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 parallel system for text inference using marker propagations"
  Abstract: This paper presents a possible solution for the text inference problem-extracting information unstated in a text, but implied. Text inference is central to natural language applications such as information extraction and dissemination, text understanding, summarization, and translation. Our solution takes advantage of a semantic English dictionary available in electronic form that provides the basis for the development of a large linguistic knowledge base. The inference algorithm consists of a set of highly parallel search methods that, when applied to the knowledge base, find contexts in which sentences are interpreted. These contexts reveal information relevant to the text. Implementation, results, and parallelism analysis are discussed.

Connected through hyperedge HE-1 (induced by source paper "Passing Markers: A Theory of Contextual Influence in Language Comprehension*"):
  with members:
    - "Massively Parallel Parsing: A Strongly Interactive Model of Natural Language Interpretation*"
    - "Six topics in search of a parser: an overview of AI language research"
    - "Beyond PDP: the frequency modulation neural network architecture"

Connected through hyperedge HE-2 (induced by source paper "Lexical chains for question answering"):
  with members:
    - "Using Bilingual Parallel Corpora for Cross-Lingual Textual Entailment"

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