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 …
Evaluation of auto-generated distractors in multiple choice questions from a semantic network
Despite their drawback, multiple-choice questions are an enduring feature in instruction
because they can be answered more rapidly than open response questions and they are …
because they can be answered more rapidly than open response questions and they are …
Answer set programming in linguistics
P Schüller - KI-Künstliche Intelligenz, 2018 - Springer
Answer Set Programming in Linguistics | SpringerLink Skip to main content Advertisement
SpringerLink Log in Menu Find a journal Publish with us Search Cart 1.Home 2.KI - Künstliche …
SpringerLink Log in Menu Find a journal Publish with us Search Cart 1.Home 2.KI - Künstliche …
Answering why and how questions with respect to a frame-based knowledge base: a preliminary report
Being able to answer questions with respect to a given text is the cornerstone of language
understanding and at the primary school level students are taught how to answer various …
understanding and at the primary school level students are taught how to answer various …
PSOA2Prolog: object-relational rule interoperation and implementation by translation from PSOA RuleML to ISO prolog
G Zou, H Boley - … Foundations, Tools, and Applications: 9th International …, 2015 - Springer
PSOA2Prolog consists of a multi-step source-to-source normalizer followed by a mapper to
a pure (Horn) subset of ISO Prolog. We show the semantics preservation of the steps …
a pure (Horn) subset of ISO Prolog. We show the semantics preservation of the steps …
[PDF][PDF] Knowledge representation in artificial intelligence and expert systems using inference rule
EE Ogheneovo, PA Nlerum - Int. J. Sci. Eng. Res, 2020 - researchgate.net
Abstract Knowledge representation is a very important concept in expert systems and
artificial intelligence (AI) in general. It involves the consideration of intelligent (expert) …
artificial intelligence (AI) in general. It involves the consideration of intelligent (expert) …
Large-scale analogical reasoning
V Chaudhri, S Heymans, A Overholtzer… - Proceedings of the …, 2014 - ojs.aaai.org
Cognitive simulation of analogical processing can be used to answer comparison questions
such as: What are the similarities and/or differences between A and B, for concepts A and B …
such as: What are the similarities and/or differences between A and B, for concepts A and B …
[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 …
Knowledge Representation in Artificial Intelligence-A Practical Approach
VC Bagal, AL Rane, D Bhattacharya… - … Learning and User …, 2024 - books.google.com
In the realm of artificial intelligence, knowledge representation is a vital aspect that enables
effective information sharing and processing. Humans excel at sharing trusted information …
effective information sharing and processing. Humans excel at sharing trusted information …