Event detection (ED) aims at identifying event instances of specified types in given texts, which has been formalized as a sequence labeling task. As far as we know, existing neural-based ED models make decisions relying entirely on the contextual se
mantic features of each word in the inputted text, which we find is easy to be confused by the varied contexts in the test stage. To this end, we come up with the idea of introducing a set of statistical features from word-event co-occurrence frequencies in the entire training set to cooperate with contextual features. Specifically, we propose a Semantic and Statistic-Joint Discriminative Network (SS-JDN) consisting of a semantic feature extractor, a statistical feature extractor, and a joint event discriminator. In experiments, SS-JDN effectively exceeds ten recent strong baselines on ACE2005 and KBP2015 datasets. Further, we perform extensive experiments to comprehensively probe SS-JDN.
تعرض المحاضرة شرح عن علم البيانات وعلاقته بعلم الإحصاء والتعلم الآلي وحالتين دراسيتين عن دور عالم البيانات في تصميم حلول تعتمد على استخراج المعرفة من حجم كبير من البيانات المتوفرة, كما يتم عرض أهم المهام في المؤتمرات العلمية التي يمكن المشاركة بها لطلاب المعلوماتية المهتمين بهذا المجال
The idea of spatial interpolation stands of great importance depending on the accuracy of
estimated (Hydrogeological) parameters of this area, which reduces excessive efforts to
reach the best Hydrogeological model of the region with as little as p
ossible, thus reducing
the overall cost of the project.
The studied area is located within the Sin plain (the southern part of the JABLEH plain).
A free layer of water, ranging between 1m and 30m in thickness.
The study relied on groundwater level data, soil thickness and type in 339 wells.
The importance of this research Lies in mapping the best spatial distribution of
characteristics using spatial statistical methods
The aim of the research is to estimate the Coefficient of Permeability of the aquifer layer
and its effective thickness using the two methods of spatial statistics methods (Kriging and
IDW) for Hydrogeological parameters in the southern part of the Jableh plain.
The aim of this study is to assess the spatial distribution of health centers in rural Lattakia
governorate and to develop a scientific methodology to guide the growth of the health
sector by identifying the needs and adequacy of the primary health
care centers according
to the spatial distribution of the population within these rural areas using spatial statistical
techniques in GIS.
In order to achieve this objective, a spatial database was created, including the population
centers, the primary health care centers (health centers) with the population served by
them, as well as a group of fields on the specifications of these centers in terms of
ownership, floor space and human cadres.
A number of quantitative and spatial tests were conducted in order to measure the fairness
of the distribution of health centers according to the population distribution and determine
the need, while attempting to find an initial guidance on the locations of the supporting
centers according to quantitative and spatial analysis And then measure the degree of
improvement according to the study indicators.
The result of this research was to describe the current status of the distribution of health
centers in the northern Latakia countryside, identify areas of weakness and inadequacy,
propose supporting centers and develop an effective guideline for assessing and improving
the placement of primary health care activities in rural areas.
We study in this research the effect of proportion of cotton
run process returns upon the specifications of open end rotor cotton
produced yarn for Syrian cotton.
The study seeks to determine the real time in electrical power system, which consists of
generating, transmitting and distributing equipment by using redistributing active power of
electrical generators in order to organizing the overload operation
of electrical power
transmission line loading in such case that the spare loads of electrical station are not
covering the important and necessary loads at failures.
The most of laws related to electrical power systems design indicated to proper ratio of
real time of electrical power system equipment along with characteristics of probability
distributed functions in addition to statistics methods which give a high possibility to
reduce the real time of considered loads; so; this leads to the requested solutions which
reduce the damage of failures at any time.
There are many ideas that come to the mind and many questions that keep coming
to the mind when it comes to analyzing the phenomenon of using the methods and tools to
help in the planning and making appropriate decisions.
In this research we tried
to display the importance of statistics and the most important
methods depending on the number of variables used in this analysis: descriptive
statistical indicators in case we had one variable, indexes in case we had two variables,
and factor analysis and analysis of variance in case we had several variables. These methods
were applied to production of irrigated wheat crop, both types soft and hard, during
the period 2000 - 2010 and the factors affecting its production, such as: the cultivated area,
yield, fertilizers, water, the average cost and the average price. Then the data were analyzed
using the Statistical package SPSS and program Excel. After that, they summarized
in two main factors that justify together (86.116%) of the overall variance. The first factor
was related to the land and everything related to it through a set of variables, which are:
the cultivated area and the need to fertilizers and water., The second factor was the importance
of the selling price of the crop per kilogram.
