Relevance feedback algorithm is proposed to be an effective way to improve the precision of information retrieval. However, most researches about relevance feedback are based on vector space model, which can’t be used in other more complicated and powerful models, such as language model and logic model. Meanwhile, other researches are conceptually restricted to the view of a query as a set of t...

i am delighted to announce completion of the second issue of the new journal of “geopersia”, a product of the new era of replacing the persian language journals with specific english-language ones. our purpose is to provide a journal that offers a multi-disciplinary analysis of issues concerning geology subjects (i.e. sedimentology, stratigraphy, paleontology, petroleum geology, engineering geo...

Abstract The Sundanese language has over 32 million speakers worldwide, but the reaped little to no benefits from recent advances in natural understanding. Like other low-resource languages, only alternative is fine-tune existing multilingual models. In this paper, we pre-trained three monolingual Transformer-based models on data. When evaluated a downstream text classification task, found that...

In this article, authors talk about the relevance of the training of foreign students in verbal-nominal combinations in different spheres of functioning. It is important for language adaptation. Language adaptation depends on how students know the system of language and the feature of language expression of sense. Verbal-nominal combinations are used in different spheres therefore they can be s...

We propose two extensions of the Local Similarity Pattern/Weighted Local Similarity Pattern (LSP/WLSP) image similarity models, proposed by Stejić (2002). The objective is to improve the retrieval precision, by increasing the expressive power of the LSP/WLSP models. We formalize LSP and WLSP as special cases of a general similarity model, which defines image similarity as a weighted mean of the...

During the last two years, exciting new approaches to information retrieval were introduced by a number of different research groups that use statistical language models for retrieval. This paper relates the retrieval algorithms suggested by these approaches to widely accepted retrieval algorithms developed within three traditional models of information retrieval: the Boolean model, the vector ...

The literature within library and information science (LIS) on relevance comes primarily from the subfields of information retrieval and information systems design. This literature has developed over time from an orthodoxy that has focused on relevance as an objective measure to a comprehension of the dynamic nature of relevance judgment. Other literatures, such as those of the philosophy of la...

Language modeling (LM), aiming to provide a statistical mechanism to associate quantitative scores to sequences of words, has long been an interesting yet challenging problem in the field of speech and language processing. Although the ngram model remains the predominant one, a number of disparate LM methods have been developed to complement the n-gram model. Among them, relevance modeling (RM)...