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In this chapter, we describe how creating knowledge bases from the primary biomedical literature is formally equivalent to the process of performing a literature review or a ‘research synthesis’. We describe a principled approach to partitioning the research literature according to the different types of experiments performed by researchers and how knowledge engineering approaches must be carefully...
Parsing unstructured local web queries is often tackled using simple syntactic rules that tend to be limited and brittle. Here we present a data-driven approach to learning a query parser for local-search (geographical) queries. The learnt model uses class-level ngram language model-based features; these ngram language models, harvested from structured queries logs, insulate the model from surface-level...
As the most important objective parameters, reverberation time and clarity play significant roles in acoustic field characteristics evaluation of the hall. We can get it by measuring an actual room. In this paper, a new method is proposed based on adaptive fuzzy neural network to extract the reverberation time and clarity from a scene image. Finally the validity of the network is proved through the...
We present an informatics infrastructure for biocuration, based on a combination of techniques from information extraction (IE) and knowledge engineering (KE). We describe the high-level design of this infrastructure which we base on the concept of 'experimental type'. Here, we treat each experiment as a specific type of knowledge statement determined by the experiment's design. We provide a preliminary,...
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