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Studying the Effect and Treatment of Misspelled Queries in Cross-Language Information Retrieval
(2016-07)
[Abstract] The performance of Information Retrieval systems is limited by the linguistic variation present in natural language texts. Word-level Natural Language Processing techniques have been shown to be useful in reducing ...
On the Feasibility of Character n-Grams Pseudo-Translation for Cross-Language Information Retrieval Tasks
(2016-03)
[Abstract] The field of Cross-Language Information Retrieval relates techniques close to both the Machine Translation and Information Retrieval fields, although in a context involving characteristics of its own. The present ...
Absolute convergence and error thresholds in non-active adaptive sampling
(Elsevier Inc., 2022-05)
[Abstract] Non-active adaptive sampling is a way of building machine learning models from a training data base which are supposed to dynamically and automatically derive guaranteed sample size. In this context and regardless ...
Surfing the Modeling of pos Taggers in Low-Resource Scenarios
(MDPI, 2022-09-27)
[Abstract] The recent trend toward the application of deep structured techniques has revealed the
limits of huge models in natural language processing. This has reawakened the interest in traditional
machine learning ...
On the performance of phonetic algorithms in microtext normalization
(Elsevier, 2018-12-15)
[Abstract]: User–generated content published on microblogging social networks constitutes a priceless source of information. However, microtexts usually deviate from the standard lexical and grammatical rules of the language, ...
Intelligent retrieval for biodiversity
(2016-02)
[Abstract] A knowledge discovery and representation frame to mine contents in systems biology is described. It applies natural language processing to integrate linguistic and domain knowledge in a mathematical model for ...