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Adaptive Information Extraction from Structured Text Documents

100%

Ożdżyński P. , Zakrzewska D.

nr 4

261-272

Effective analysis of structured documents may decide on management information systems performance. In the paper, an adaptive method of information extraction from structured text documents is considered. We assume that documents belong to thematic groups and that required set of information may be determined ”apriori”. The knowledge of document structure allows to indicate blocks, where certain information is more probable to appear. As the result structured data, which can be further analysed are obtained. The proposed solution uses dictionaries and flexion analysis, and may be applied to Polish texts. The presented approach can be used for information extraction from official letters, information sheets and product specifications.

Narzędzia do automatycznego streszczania tekstów w języku polskim. Stan badań naukowych i prac wdrożeniowych

88%

Glenc P.

2021

nr 2 (89)

67-77

The goal of the publication is to present the state of research and works carried out in Poland on the issue of automatic text summarization. The author describes principal theoretical and methodological issues related to automatic summary generation followed by the outline of the selected works on the automatic abstracting of Polish texts. The author also provides three examples of IT tools that generate summaries of texts in Polish (Summarize, Resoomer, and NICOLAS) and their characteristics derived from the conducted experiment, which included quality assessment of generated summaries using ROUGE-N metrics. The results of both actions showed a deficiency of tools allowing to automatically create summaries of Polish texts, especially in the abstractive approach. Most of the proposed solutions are based on the extractive method, which uses parts of the original text to create its abstract. There is also a shortage of tools generating one common summary of many text documents and specialized tools generating summaries of documents related to specific subject areas. Moreover, it is necessary to intensify works on creating the corpora of Polish-language text summaries, which the computer scientists could apply to evaluate their newly developed tools.

The image of a vocational school teacher in the eyes of students and its relationship with the effectiveness of education

75%

Pardej K. , Waszkowski R.

2022

tom XIII(1(38))

121-140

The article discusses the competencies of vocational education teachers, as well as discusses the results of own research, which aimed to determine three types of teachers conceptualized by students - the most liked, the least liked, and the dream one. The research used the interview method, where the research technique was an interview, and the research tool was an interview questionnaire. The students' statements were analyzed using the Python Natural Language Toolkit used for natural language processing. In this way, the most common words used by students in describing teachers were selected. As a result, the personal qualities and pedagogical competencies of mechatronic teachers that students approve and disapprove of, as well as those that they lack and which would make a difference to the effectiveness of education, were identified.