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Developing free morphological data for Polish

100%
Radziszewski A., Maziarz M.
Cognitive Studies
|
2011
|
issue 11
EN
Developing free morphological data for PolishA limiting factor in construction of Natural Language Processing (NLP) systems is often the availability of morphological resources. This indeed happens for Polish: the freely available corpus with manual morpho-syntactic annotation (part of the IPI PAN Corpus) is not coupled with any free morphological analyser. There exists a very large morphological dictionary of Polish available under a free licence – Morfologik. Unfortunately, its tagset differs significantly from the tagset of the corpus and, what is more, its morphological description lacks desired rigour. We amend this situation by performing a massive conversion of the dictionary into the tagset compliant with the corpus. The conversion results in a free dictionary containing entries for almost 3.5 million different word forms. In this article we report on our methodology, discuss some morphological and syntactic issues related to both tagsets and present the characteristics of the resulting dictionary.
2
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Adaptive Information Extraction from Structured Text Documents

80%
Ożdżyński P., Zakrzewska D.
Information Systems in Management
|
2014
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vol. 3
|
issue 4
261-272
EN
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.
3
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Narzędzia do automatycznego streszczania tekstów w języku polskim. Stan badań naukowych i prac wdrożeniowych

70%
Glenc P.
e-mentor
|
2021
|
issue 2 (89)
67-77
EN
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.
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