We study Comparative Preference Classification (CPC) which aims at predicting whether a preference comparison exists between two entities in a given sentence and, if so, which entity is preferred over the other. High-quality CPC models can significan
tly benefit applications such as comparative question answering and review-based recommendation. Among the existing approaches, non-deep learning methods suffer from inferior performances. The state-of-the-art graph neural network-based ED-GAT (Ma et al., 2020) only considers syntactic information while ignoring the critical semantic relations and the sentiments to the compared entities. We propose Sentiment Analysis Enhanced COmparative Network (SAECON) which improves CPC accuracy with a sentiment analyzer that learns sentiments to individual entities via domain adaptive knowledge transfer. Experiments on the CompSent-19 (Panchenko et al., 2019) dataset present a significant improvement on the F1 scores over the best existing CPC approaches.
Gypsy moth (Lymantriadispar) is polyphagous insect .Therefore we had conducted
an experiment to determine the influence of the following plant hosts(Malussp, Quercussp
,Prunus. armeniaca, Platanusprientalis, Pinusnigra) onthe growth and development
of
gypsy moth's larvae.
The results showed that duration of larval development was the longest
onPinusnigra(77,1±5,46) days and the shortest on Malussp(37,5±4,96) days,for larval
growth in length and weight larvae had gained the higher length and weight on Malussp in
the order (62±1,9)m.m (2136±9,62) mg. on the other hand the lower length and weight
were on Pinusnigra in the order (38±2,44)m.m (545±7,91) m.g. mortality percent of larvae
was least on Malussp.and highest on Pinusnigra.
Finally, pupae had the best weight with shortest development duration on the
Malussp, while the least weight and longest development duration were on the Pinusnigra.
There were proportional indirect of larval percentage mortality on relation to plant host, it
was highest on lower preference plant.
This research addresses an old and new controversy: the Quranic
context versus occasions of revelations: which of them is stronger
semantically for preference if it proves impossible to reconcile them
within one apparent context. What is old in th
is research is the
importance of context for semantic preference in terms of deciding what
is meant by the Quranic text as appears from the context, and in terms of
clarifying and specifying generalizations, in addition to context being the
meaning that links words and Ayat (verses) together.
