human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge groups authors who co-authored the same paper.

Details of the hypergraph:
Center hyperedge (induced by source paper "Classification of short texts by deploying topical annotations"):
  Abstract: We propose a novel approach to the classification of short texts based on two factors: the use of Wikipedia-based annotators that have been recently introduced to detect the main topics present in an input text, represented via Wikipedia pages, and the design of a novel classification algorithm that measures the similarity between the input text and each output category by deploying only their annotated topics and the Wikipedia link-structure. Our approach waives the common practice of expanding the feature-space with new dimensions derived either from explicit or from latent semantic analysis. As a consequence it is simple and maintains a compact intelligible representation of the output categories. Our experiments show that it is efficient in construction and query time, accurate as state-of-the-art classifiers (see e.g. Phan et al. WWW '08), and robust with respect to concept drifts and input sources.

Includes members:
  Member "Robust Disambiguation of Named Entities in Text":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "AIDArabic A Named-Entity Disambiguation Framework for Arabic Text")
  Member "Improved text annotation with Wikipedia entities":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Extracting Knowledge from Web Search Engine Using Wikipedia")

Question: Please tell me which research area the co-authored paper (i.e., the source paper of the center hyperedge) belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Computer science