A Simple Fat Extractor.

A Simple Named Entity Extractor using AdaBoost

This paper presents a Named Entity Extraction (NEE) system for the CoNLL-2003 shared task competition. As in the past year edition (Carreras et al., 2002a), we have approached the task by treating the two main sub–tasks of the problem, recognition (NER) and classification (NEC), sequentially and independently with separate modules. Both modules are machine learning based systems, which make use...

A Fast and Simple Online Synchronous Context Free Grammar Extractor

Qualitative” is a python toolkit for ranking and selection of sentence-level output by different MT systems using Quality Estimation. The toolkit implements a basic pipeline for annotating the given sentences with black-box features. Consequently, it applies a machine learning mechanism in order to rank data based on models pre-trained on human preferences. The preprocessing pipeline includes s...

Hypodensity extractor: A phantom study

We report on the extraction procedures of low-contrast symptomatic hypodensity optimized for a computed tomography-based diagnosis. The specific application is brain imaging with enhanced perception of hypodense areas which are direct symptoms of acute ischemia. A standard low-contrast phantom, as commonly employed in dosimetry and imaging quality evaluation, was used to derive numeric criteria...

Completeness of a Fact Extractor

A layout defect-sensitivity extractor

A new method based on a deterministic geometrical construction of critical areas is presented to determine the sensitivity of layouts to spot defects. The models for fatal faults considered are bridges and cuts related to patterns in one layer. Our approach, based on the new concept of "susceptible sites". has a complexity O(N1ogN). where N is the number of line segments. Moreover, on& two scan...