01110nas 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<p>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.</p>
1 ada Silva, Fabiano, Tavares1 aMaia, José, E. B.  uhttp://dline.info/fpaper/jdim/v17i6/jdimv17i6_1.pdf