It-Sr-NER: Web Services for Recognizing and Linking Named Entities in Text and Displaying Them on a Web Map

Abstract

The paper will present the results of the project "It-Sr-NER: Web services for named entities recognition, linking and mapping," in which teams from the University of Turin and the Society for Language Resources and Technologies JeRTeh participated, and whose goal was the development of the It-Sr-NER web service for named entity annotations in the text and displaying them on the map. Named entities in these services are names of persons, places, organizations, demonyms (ethnicities), events and works of art.

Transformer-Based Composite Language Models for Text Evaluation and Classification

“…For each composite model (CM 1 , CM 2 ) and for each classification task (C 1 , C 2 ), we calculate the t-score using Equation (34) and from it the p-value using Student's Cumulative distribution function [43]. These results are presented in Table 8.…”

“…The bigger share of the texts was pooled from parallel Serbian-German corpus, SrpNemKor [32], where only the novels originally written in German were used. The rest of the textual data represent the parallel translation of the third part of the Naples stories series [33,34], prepared as the part of the parallel Serbian-Italian corpus within the It-Sr-Ner project (supported by CLARIN ERIC "Bridging Gaps Call 2022") [35]. A total of seven novel translations were used (Table 1).…”