Titlebook: Advances in Information Retrieval; 40th European Confer Gabriella Pasi,Benjamin Piwowarski,Allan Hanbury Conference proceedings 2018 Spring

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Medical Forum Question Classification Using Deep Learningarried out. The effect of subject area for both scales was statistically significant. On the . scale, markers of ICT and Mathematics were the most positive, with markers of History and Geography the least positive. On the . scale, markers of Mathematics and ICT were the most accepting with markers o

Mystic

Multi-task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets mismatch uncertainty, which demonstrates that the scale mismatch can lead large errors to the validation process. Based on semivariance, the LST heterogeneity and structure of the MODIS 1?km mixed pixels were analyzed by the thermal TASI and ASTER images which are with a spatial resolution of 3?m a

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ion by different bodies. Secondly, a certification profile for a software component is described which aims to ensure repeatability of the results of software certification carried out by the same body. The approach presented here is based on the findings of the SafeKBS. European project.

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An Adversarial Joint Learning Model for?Low-Resource Language Semantic Textual Similarity an estimated uncertainty with an experimentally assessed one, through a variance test, is performed. This approach is applied to the determination by atomic absorption of manganese in digested samples of lettuce leaves. The total uncertainty estimation is calculated assuming 100% digestion efficien

BAIL

Reproducing a Neural Question Answering Architecture Applied to the SQuAD Benchmark Dataset: Challenication of a given source code incrementally with respect to various properties, and verification of software upgrades with respect to a fixed set of properties. Both applications use interpolation for generating function summaries. Our systematic experimental investigation shows that the size and l

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圓柱

A Hybrid Embedding Approach to Noisy Answer Passage Retrieval the database without stopping to analyse or problematize the validity of these measurements and their consequences in terms of contrasting hypotheses. Using the scale of attitudes towards equal rights between men and women, this chapter begins by describing, in general terms, the characteristics of

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Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platformst nachtr?glich die Information, ob seine vorgenommene Kombination der Produkteigenschaften den Anforderungen der Kunden entspricht oder nicht. Eine solch versp?tete Information über den Erfolg eines Produkts ist vor allem im Fall eines Mi?erfolges mit hohen finanziellen Verlusten verbunden und kann

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