Structure aware transformers for natural language processing
US-2024370714-A1 · Nov 7, 2024 · US
US8972425B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8972425-B2 |
| Application number | US-201313799568-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 13, 2013 |
| Priority date | Mar 13, 2013 |
| Publication date | Mar 3, 2015 |
| Grant date | Mar 3, 2015 |
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A method is provided for parsing a document having a plurality of lines on which items are listed spanning one or more lines. It includes: obtaining a plurality of candidates, representing hypothetical items within the document, each candidate spanning one or more lines and having a local cost representing a confidence in a quality of the candidate compared to a model; determining labeling costs for intervals of the document defined between pairs of lines, each interval containing candidates therein, each labeling cost reflecting a configuration of the candidates within the interval; identifying a best labeling for each interval based on the labeling costs determined for that interval, the best labeling corresponding to one of the configurations of the candidates within the interval; defining a global objective function; and selecting a subset of the candidates such that the global objective function is optimized, based on the identified best labelings.
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What is claimed is: 1. A method for parsing a document having a plurality of lines on which a series of actual items are listed, the listing of each actual item spanning one or more lines, said method comprising: obtaining a plurality of candidates representing hypothetical items within the document, each candidate spanning one or more lines of the document and having a local cost associate therewith, said local cost representing a confidence in a quality of the candidate with res…
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
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