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Role of edit distance and position distance during the classification process. In case of tokens having equal ed measure ( ed(ti−1, d k ) = ed(ti−1, dr) = ed(ti−1, ds)) the token ds with minimum pd is selected.  

Role of edit distance and position distance during the classification process. In case of tokens having equal ed measure ( ed(ti−1, d k ) = ed(ti−1, dr) = ed(ti−1, ds)) the token ds with minimum pd is selected.  

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Fig. 2. Semi-structured documents written in natural language that...
Fig. 3. List of potential descriptions in (b) that may be used to...
Fig. 4. An example of KB set and thesaurus used to build the matcher.
Fig. 5. Role of edit distance and position distance during the matching...
Fig. 6. Role of edit distance and position distance during the...
Information Extraction and Classification from Free Text Using a Neural Approach
Conference Paper
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  • Nov 2007
Many approaches to Information Extraction (IE) have been proposed in literature capable of finding and extract specific facts in relatively unstructured documents. Their application in a large information space makes data ready for post-processing which is crucial to many context such as Web mining and search- ing tools. This paper proposes a new I...
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... case of a node t ij with multiple match associated with its parent t i−1 , with identical minimum ed, the input token t i−1 with minimum pd will be selected (see example in Fig. ...

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