A Fine-Grained Outcome-Based Learning Path Model

Path-Based Attention Neural Model for Fine-Grained Entity Typing

Fine-grained entity typing aims to assign entity mentions in the free text with types arranged in a hierarchical structure. Traditional distant supervision based methods employ a structured data source as a weak supervision and do not need hand-labeled data, but they neglect the label noise in the automatically labeled training corpus. Although recent studies use many features to prune wrong da...

A Fine Grained Access Control Model Based on Diverse Attributes

As the web has become a place for sharing of information and resources across varied domains, there is a need for providing authorization services in addition to authentication services provided by public key infrastructure (PKI). In distributed systems the use of attribute certificates (AC) has been explored as a solution for implementation of authorization services and their use is gaining po...

A Model for Fine-Grained Data Citation

An increasing amount of information is being collected in structured, evolving, curated databases, driving the question of how information extracted from such datasets via queries should be cited. Unlike traditional research products, such books and journals, which have a fixed granularity, data citation is a challenge because the granularity varies. Different portions of the database, with var...

A Fine-Grained Model for Code Mobility

Ultra-Fine Grained Dual-Phase Steels

This paper provides an overview on obtaining low-carbon ultra-fine grained dual-phase steels through rapid intercritical annealing of cold-rolled sheet as improved materials for automotive applications. A laboratory processing route was designed that involves cold-rolling of a tempered martensite structure followed by a second tempering step to produce a fine grained aggregate of ferrite and ca...