Corpus ID: 3017692

A Semantic Question / Answering System using Topic Models

@inproceedings{elikyilmaz2009ASQ,
  title={A Semantic Question / Answering System using Topic Models},
  author={A. Çelikyilmaz},
  year={2009}
}
  • A. Çelikyilmaz
  • Published 2009
  • Bayesian Topic Models have been used in different fields of natural language processing to help extract information from unstructured text. Specifically previous research on topic model based retrieval methods has shown significant performance improvements. This paper deals with more complex models of information extraction, namely Question/Answering (QA) models. For any given question posed in natural language, QA systems are designed to extract possible answer as a semantic group or a pre… CONTINUE READING

    Figures and Tables from this paper.

    Continuous-time Infinite Dynamic Topic Models
    • 6
    • PDF

    References

    Publications referenced by this paper.
    SHOWING 1-5 OF 5 REFERENCES
    LDA-based document models for ad-hoc retrieval
    • 1,042
    • PDF
    Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model
    • 195
    • Highly Influential
    • PDF
    A Graph-based Semi-Supervised Learning for Question-Answering
    • 29
    • PDF
    Probabilistic Topic Models
    • 907