Framing qa as building and ranking intersentence answer justifications
We propose a question answering (QA) approach for standardized science exams that both
identifies correct answers and produces compelling human-readable justifications for why …
identifies correct answers and produces compelling human-readable justifications for why …
How do machine-generated questions compare to human-generated questions?
Science instructors need questions for use in exams, homework assignments, class
discussions, reviews, and other instructional activities. Textbooks never have enough …
discussions, reviews, and other instructional activities. Textbooks never have enough …
Adaptively selecting biology questions generated from a semantic network
The paper describes a biology tutoring system with adaptive question selection. Questions
were selected for presentation to the student based on their utilities, which were estimated …
were selected for presentation to the student based on their utilities, which were estimated …
Natural language why-question answering system in business intelligence context
Business Intelligence is the key technologies that ensures effective decision making through
extracting relevant information and providing adapted systems as the Data Warehouses. To …
extracting relevant information and providing adapted systems as the Data Warehouses. To …
[HTML][HTML] Developing a Why–How Question Answering system on community web boards with a causality graph including procedural knowledge
C Pechsiri, R Piriyakul - Information Processing in Agriculture, 2016 - Elsevier
The research aims to develop an automatic Question Answering system, in particular Why
and How questions, on community web-boards to support ordinary people in preliminary …
and How questions, on community web-boards to support ordinary people in preliminary …
Natural language why-question in Business Intelligence applications: model and recommendation approach
Business Intelligence is the key technology for users to effectively extract valuable
information from oceans of data for decision-making. Data warehouses and on-line …
information from oceans of data for decision-making. Data warehouses and on-line …
Dealing with decisional natural language why-question in business intelligence
MA Guessoum, R Djiroun… - 2017 8th International …, 2017 - ieeexplore.ieee.org
Business Intelligence aims at providing information to non expert users to make appropriate
decisions. To access decisional information, the decision maker should express his/her …
decisions. To access decisional information, the decision maker should express his/her …
[图书][B] Solving winograd schema challenge: Using semantic parsing, automatic knowledge acquisition and logical reasoning
A Sharma - 2014 - search.proquest.com
Turing test has been a benchmark scale for measuring the human level intelligence in
computers since it was proposed by Alan Turing in 1950. However, for last 60 years, the …
computers since it was proposed by Alan Turing in 1950. However, for last 60 years, the …
Undergraduate music student recruitment from the perspective of music faculty and administrative practitioners
S Adams-Johnson - 2015 - shareok.org
This large-scale qualitative study was initiated to explore, examine, and document
undergraduate music student recruitment from the perspective of faculty and administrators …
undergraduate music student recruitment from the perspective of faculty and administrators …
[PDF][PDF] Explanation based why question answering system
C Pechsiri - Proceedings of the international multiconference of …, 2016 - iaeng.org
Question Answering system on community web-boards for supporting ordinary people in
preliminary diagnosis problems such as plant disease problems. The research contains two …
preliminary diagnosis problems such as plant disease problems. The research contains two …