From 'F'to 'A'on the NY regents science exams: An overview of the aristo project
AI has achieved remarkable mastery over games such as Chess, Go, and Poker, and even
Jeopardy!, but the rich variety of standardized exams has remained a landmark challenge …
Jeopardy!, but the rich variety of standardized exams has remained a landmark challenge …
Project halo update—progress toward digital aristotle
In the winter, 2004 issue of AI Magazine, we reported Vulcan Inc.'s first step toward creating
a question-answering system called" Digital Aristotle." The goal of that first step was to …
a question-answering system called" Digital Aristotle." The goal of that first step was to …
Automatic scoring of short handwritten essays in reading comprehension tests
Reading comprehension is largely tested in schools using handwritten responses. The
paper describes computational methods of scoring such responses using handwriting …
paper describes computational methods of scoring such responses using handwriting …
Multi-step inference for reasoning over paragraphs
Complex reasoning over text requires understanding and chaining together free-form
predicates and logical connectives. Prior work has largely tried to do this either symbolically …
predicates and logical connectives. Prior work has largely tried to do this either symbolically …
[PDF][PDF] 基于领域本体的半结构化文本知识自动获取方法的设计和实现
王海涛， 曹存根， 高颖 - 2005 - cjc.ict.ac.cn
摘! 要! 文章介绍了一种新的基于领域本体的文本知识自动获取方法的设计和实现9
通过引入领域本体$ 实现了半结构化文本知识的完全自动获取9 该方法具有较好的通用性 …
通过引入领域本体$ 实现了半结构化文本知识的完全自动获取9 该方法具有较好的通用性 …
Pattern-based security requirements specification using ontologies and boilerplates
O Daramola, G Sindre… - 2012 Second IEEE …, 2012 - ieeexplore.ieee.org
The task of specifying and managing security requirements (SR) is a challenging one.
Usually SR are often neglected or considered too late-leading to poor design, and cost …
Usually SR are often neglected or considered too late-leading to poor design, and cost …
Semantic constraints to represent common sense required in household actions for multimodal learning-from-observation robot
The learning-from-observation (LfO) paradigm allows a robot to learn how to perform actions
by observing human actions. Previous research in top-down learning-from-observation has …
by observing human actions. Previous research in top-down learning-from-observation has …
[PDF][PDF] On the Automatic Scoring of Handwritten Essays.
Automating the task of scoring handwritten student essays is a challenging problem of AI.
The goal is to assign scores which are comparable to those of human scorers even though …
The goal is to assign scores which are comparable to those of human scorers even though …
The research of classical learner models in intelligent tutoring systems
L Zhiping, S Yu, X Tianwei… - 2012 7th International …, 2012 - ieeexplore.ieee.org
Learner models are of great importance in the construction of intelligent tutoring systems. In
this paper, after introducing intelligent tutoring systems and learner models, four kinds of …
this paper, after introducing intelligent tutoring systems and learner models, four kinds of …