01385nas a2200145 4500008004100000245010800041210006900149260001200218300001000230490000700240520089300247100002901140700002301169856004701192 2021 eng d00aRetrieving and Processing Images from the Pages of a Historical Newspaper and Modeling the Text Topics-0 aRetrieving and Processing Images from the Pages of a Historical  c06/2021 a41-460 v193 a

Historical newspapers are a source of research for the human and social sciences. However, these image collections are difficult to read by machine due to the low quality of the print, the lack of standardization of the pages in addition to the low quality photograph of some files. This paper presents the processing model of a topic navigation system in historical newspaper page images. The general procedure consists of four modules which are: segmentation of text sub-images and text extraction, preprocessing and representation, induced topic extraction and representation, and document viewing and retrieval interface. The algorithmic and technological approaches of each module are described and the initial test results about a collection covering a range of 28 years are presented.

1 aSá, Gildácio, J. de A.1 aMaia, José, E. B. uhttp://www.dline.info/download.php?sn=325801110nas a2200145 4500008004100000245009500041210006900136260001200205300001200217490000700229520061800236100003100854700002300885856005600908 2020 eng d00aQuery Expansion in Text Information Retrieval with Local Context and Distributional Model-0 aQuery Expansion in Text Information Retrieval with Local Context c12/2019 a313-3200 v173 a

The Semantic Distributional Model is based on the frequency of contexts of use of language terms in large open corpus such as the web, to establish similarity or the relationship between words. These relationships or similarities can be used to add terms when expanding queries. The idea explored in this paper is that, for queries in closed collections of text documents, a posterior filter based on the restricted vocabulary of the collection can improve the effectiveness of automatic query expansion. This idea is developed and evaluated in publicly available benchmarks presenting promising results.

1 ada Silva, Fabiano, Tavares1 aMaia, José, E. B. uhttp://dline.info/fpaper/jdim/v17i6/jdimv17i6_1.pdf