Feature Extraction for Polish Language Named Entities Recognition in Intelligent Office Assistant

The purpose of this contribution is to present a feature extractor that was designed as a part of a Named Entity Recognition (NER) system, which is to be used in a Robotic Process Automation application with a self-learning ability. The NER system has a screen of the user interface as its input, and tries to recognize and categorize all the named entities that can be located within this screen. The set of features that can be extracted from the input, is discussed in the article. The local context features appear to be very important in the considered problem. Experiments show that the entities are recognized with a rate that is satisfactory from the business perspective

Multi-Domain Named Entity Recognition for Robotic Process Automation

To make Robotic Process Automation more attractive, it needs to become more ``intelligent''. In this context, a modification of the Form-to-Rule approach, based on identifying data types of form fields, is proposed. Moreover, multi-domain named entity recognition is used, for field value identification. These techniques, used jointly, allow software robots to adapt to interface changes. Experimental results are reported and verify viability of the proposed approach

Optimal recovery of harmonic functions in the ball from an inaccurately given Radon transform

Consider the Hardy space h_2 of functions harmonic in the unit ball Bbb B^{d}subsetBbb R^d, with norm |f|_{h_2}=sup_{0le r<1}left(int_{Bbb S^{d-1}}|f(rphi)|^2,dphiright)^{1/2}. Denote by Bh_2 the set of functions fin h_2 for which |f|_{h_2}le1. par Define the Radon transform as an integration over hyperplanes in Bbb R^d with respect to the standard measure: Rf(theta,s)=int_{xcdot theta}f(x),ds. Let Z be the set of all hyperplanes in Bbb R^d. Suppose that a function gin L^2(Z) which is close to Rf in the L^2 norm, be given. The problem is to reconstruct f(x) from its inaccurate Radon transform g. par An arbitrary mapping m: L^2(Z)to L^2(Bbb B^d) is called a reconstruction method. The value supnolimits_{fin Bh_2, gin L^2(Z), |Rf-g|_{L^2(Z)}<delta}|f-m(g)|_{L^2(Bbb B^d)} is called a reconstruction error. par A reconstruction method based on the expansion of f into a series over the spherical harmonics is given in the article. It is proved that the proposed method has the minimal reconstruction error

rpa-school-dataset

Polish schools dataset for Robotic Process Automation tasks. The data was sourced from the Polish registry of schools (RSPO, Rejestr Szkół i Placówek Oświatowych). It is intended to be used in RPA and NER-related research. The dataset is entirely in the Polish language