• Title of article

    Computational complexity of planning and approximate planning in the presence of incompleteness

  • Author/Authors

    Baral، Chitta نويسنده , , Kreinovich، Vladik نويسنده , , Trejo، Ra?l نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2000
  • Pages
    -240
  • From page
    241
  • To page
    0
  • Abstract
    Morphology is the area of linguistics concerned with the internal structure of words. Information retrieval has generally not paid much attention to word structure, other than to account for some of the variability in word forms via the use of stemmers. We report on our experiments to determine the importance of morphology, and the effect that it has on performance. We found that grouping morphological variants makes a significant improvement in retrieval performance. Improvements are seen by grouping inflectional as well as derivational variants. We also found that performance was enhanced by recognizing lexical phrases. We describe the interaction between morphology and lexical ambiguity, and how resolving that ambiguity will lead to further improvements in performance.
  • Keywords
    computational complexity , Planning , Approximate planning , Incomplete knowledge
  • Journal title
    ARTIFICIAL INTELLIGENCE (NON MEMBERS) (AI)
  • Serial Year
    2000
  • Journal title
    ARTIFICIAL INTELLIGENCE (NON MEMBERS) (AI)
  • Record number

    48005