Search (2 results, page 1 of 1)

  • × theme_ss:"Sprachretrieval"
  1. Srihari, R.K.: Using speech input for image interpretation, annotation, and retrieval (1997) 0.06 
    0.059781354 = product of:
  0.11956271 = sum of:
    0.04116606 = weight(_text_:26 in 764) [ClassicSimilarity], result of:
      0.04116606 = score(doc=764,freq=2.0), product of:
        0.17584132 = queryWeight, product of:
          3.5315237 = idf(docFreq=3516, maxDocs=44218)
          0.04979191 = queryNorm
        0.23410915 = fieldWeight in 764, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.5315237 = idf(docFreq=3516, maxDocs=44218)
          0.046875 = fieldNorm(doc=764)
    0.07839665 = sum of:
      0.037919957 = weight(_text_:access in 764) [ClassicSimilarity], result of:
        0.037919957 = score(doc=764,freq=2.0), product of:
          0.16876608 = queryWeight, product of:
            3.389428 = idf(docFreq=4053, maxDocs=44218)
            0.04979191 = queryNorm
          0.22468945 = fieldWeight in 764, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.389428 = idf(docFreq=4053, maxDocs=44218)
            0.046875 = fieldNorm(doc=764)
      0.040476695 = weight(_text_:22 in 764) [ClassicSimilarity], result of:
        0.040476695 = score(doc=764,freq=2.0), product of:
          0.17436278 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.04979191 = queryNorm
          0.23214069 = fieldWeight in 764, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.046875 = fieldNorm(doc=764)
  0.5 = coord(2/4)
    Date
    22. 9.1997 19:16:05
    Source
    Digital image access and retrieval: Proceedings of the 1996 Clinic on Library Applications of Data Processing, 24-26 Mar 1996. Ed.: P.B. Heidorn u. B. Sandore
  2. Galitsky, B.: Can many agents answer questions better than one? (2005) 0.00 
    0.0047399946 = product of:
  0.018959979 = sum of:
    0.018959979 = product of:
      0.037919957 = sum of:
        0.037919957 = weight(_text_:access in 3094) [ClassicSimilarity], result of:
          0.037919957 = score(doc=3094,freq=2.0), product of:
            0.16876608 = queryWeight, product of:
              3.389428 = idf(docFreq=4053, maxDocs=44218)
              0.04979191 = queryNorm
            0.22468945 = fieldWeight in 3094, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.389428 = idf(docFreq=4053, maxDocs=44218)
              0.046875 = fieldNorm(doc=3094)
      0.5 = coord(1/2)
  0.25 = coord(1/4)
    Abstract
    The paper addresses the issue of how online natural language question answering, based on deep semantic analysis, may compete with currently popular keyword search, open domain information retrieval systems, covering a horizontal domain. We suggest the multiagent question answering approach, where each domain is represented by an agent which tries to answer questions taking into account its specific knowledge. The meta-agent controls the cooperation between question answering agents and chooses the most relevant answer(s). We argue that multiagent question answering is optimal in terms of access to business and financial knowledge, flexibility in query phrasing, and efficiency and usability of advice. The knowledge and advice encoded in the system are initially prepared by domain experts. We analyze the commercial application of multiagent question answering and the robustness of the meta-agent. The paper suggests that a multiagent architecture is optimal when a real world question answering domain combines a number of vertical ones to form a horizontal domain.

Authors

Years

Types