Pinned Repositories
three-d
2D/3D renderer - makes it simple to draw stuff across platforms (including web)
a200_y915
Introduction to Vision and Robotics assignment
bostonhousepricing
django_Europe_tour
egui_test
egui_test_updated
Emnist
Detection of handwritten digits using Machine Learning
Entity-aggregation-to-support-producing-general-sentences-for-automated-summaries
Semantic aggregation is a technique that has been used frequently in Natural Language Processing to generalize a group of entities by means of a category or group to which they belong to such as "mammals", "rodents","continents" etc. This technique amicably avoids repetitive words and phrases encapsulating them under a single term. Recently this methodology has received a lot of attention in automatic summarization. It has presented its challenge in finding appropriate aggregations in order to produce high quality summaries. In this project we would be exploiting the hyponomy \texttt{is-a} relationship in the form of Hearst pattern \cite{hearst1992automatic} to identify good quality aggregations to produce more general and simplified sentences that can ultimately generate superior summaries.
StudentPerformanceInExam
VirtualReality
JavaFx Gradle and Scene builder application
saharatif's Repositories
saharatif/bostonhousepricing
saharatif/django_Europe_tour
saharatif/egui_test
saharatif/egui_test_updated
saharatif/Emnist
Detection of handwritten digits using Machine Learning
saharatif/Entity-aggregation-to-support-producing-general-sentences-for-automated-summaries
Semantic aggregation is a technique that has been used frequently in Natural Language Processing to generalize a group of entities by means of a category or group to which they belong to such as "mammals", "rodents","continents" etc. This technique amicably avoids repetitive words and phrases encapsulating them under a single term. Recently this methodology has received a lot of attention in automatic summarization. It has presented its challenge in finding appropriate aggregations in order to produce high quality summaries. In this project we would be exploiting the hyponomy \texttt{is-a} relationship in the form of Hearst pattern \cite{hearst1992automatic} to identify good quality aggregations to produce more general and simplified sentences that can ultimately generate superior summaries.
saharatif/StudentPerformanceInExam
saharatif/VirtualReality
JavaFx Gradle and Scene builder application