منابع مشابه
r-grams: Relational Grams
We introduce relational grams (r-grams). They upgrade n-grams for modeling relational sequences of atoms. As n-grams, r-grams are based on smoothed n-th order Markov chains. Smoothed distributions can be obtained by decreasing the order of the Markov chain as well as by relational generalization of the r-gram. To avoid sampling object identifiers in sequences, r-grams are generative models at t...
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Our proposal, identifying sentiments in N -grams (ISN), focuses on both word order and phrases, and the interdependency between specific ratings and corresponding sentiments in texts to detect subjective information.
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Motivation Classification by supervised machine learning greatly facilitates the annotation of protein characteristics from their primary sequence. However, the feature generation step in this process requires detailed knowledge of attributes used to classify the proteins. Lack of this knowledge risks the selection of irrelevant features, resulting in a faulty model. In this study, we introduce...
متن کاملs-grams: Defining generalized n-grams for information retrieval
n-grams have been used widely and successfully for approximate string matching in many areas. s-grams have been introduced recently as an n-gram based matching technique, where di-grams are formed of both adjacent and non-adjacent characters. s-grams have proved successful in approximate string matching across language boundaries in Information Retrieval (IR). s-grams however lack precise defin...
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The Baltic Proper shows many signs of eutrophication. Nutrient changes over time have been discernable, and also within the Sea there are large spatial patterns. Present study analyses the spatial patterns of dissolved inorganic nitrogen and phosphorus as well as dissolved silicate (DSi) in the euphotic zone for the period 1990-2001. The focus is on the spatial heterogeneity with the aim to ide...
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ژورنال
عنوان ژورنال: Baltic Linguistics
سال: 2019
ISSN: 2081-7533
DOI: 10.32798/bl.359