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: "The price of debiasing automatic metrics in natural language evalaution."
  Abstract: For evaluating generation systems, automatic metrics such as BLEU cost nothing to run but have been shown to correlate poorly with human judgment, leading to systematic bias against certain model improvements. On the other hand, averaging human judgments, the unbiased gold standard, is often too expensive. In this paper, we use control variates to combine automatic metrics with human evaluation to obtain an unbiased estimator with lower cost than human evaluation alone. In practice, however, we obtain only a 7-13% cost reduction on evaluating summarization and open-response question answering systems. We then prove that our estimator is optimal: there is no unbiased estimator with lower cost. Our theory further highlights the two fundamental bottlenecks---the automatic metric and the prompt shown to human evaluators---both of which need to be improved to obtain greater cost savings.

Connected through hyperedge HE-1 (induced by source paper "How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation"):
  with members:
    - "A Neural Conversational Model"
    - "Contextual Topic Modeling For Dialog Systems."

Connected through hyperedge HE-2 (induced by source paper "The Stanford CoreNLP Natural Language Processing Toolkit"):
  with members:
    - "Information extraction from multi-institutional radiology reports"
    - "Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank"
    - "Aligning Textual and Graphical Descriptions of Processes Through ILP Techniques"
    - "HANS: A Service-Oriented Framework for Chinese Language Processing"

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