scholarly journals Using AnsProlog with Link Grammar and WordNet for QA with deep reasoning

2006 ◽  
Author(s):  
Chitta Baral ◽  
Luis Tari
Keyword(s):  
Deep Reasoning ◽  
Link Grammar

scholarly journals Designing a scaffold for mechanistic reasoning in organic chemistry

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Nicole Graulich ◽  
Ira Caspari
Keyword(s):  
Organic Chemistry ◽  
Contrasting Cases ◽  
Chemistry Teaching ◽  
Surface Approach ◽  
Reasoning Process ◽  
Mechanistic Reasoning ◽  
Key Factor ◽  
Course Material ◽  
Asking Questions ◽  
Deep Reasoning

AbstractDesigning problems and learning activities is a key factor to initiating students’ engagement with the course material and influencing their reasoning processes. Although tasks and problems are a central part of teaching and assessments in the chemistry classroom, they may not engage students in deep reasoning or in a way that is intended through a task. Some problems may cause an algorithmic or a surface approach. Even with designing clever problems, students may not use a larger variety of chemistry ideas and connect them in meaningful ways. Here the idea of scaffolding students’ answering process comes into play. Structuring students’ reasoning process through instructional prompts or structured worksheets supports students in activating and connecting knowledge pieces in a more meaningful way and positively slows down their fast decision-making process. This paper will discuss the importance of asking questions in chemistry teaching and highlights the idea of contrasting cases, drawn from cognitive psychology, as a task design principle. In addition to having contrasting cases as a good problem format, the idea of scaffolding students’ reasoning while solving contrasting cases through the use of instructional prompts that scaffold the reasoning process will be exemplarily showcased for mechanistic reasoning in organic chemistry.

scholarly journals Regular Approximation of Link Grammar

2006 ◽  
pp. 564-575 ◽  
Author(s):  
Filip Ginter ◽  
Sampo Pyysalo ◽  
Jorma Boberg ◽  
Tapio Salakoski
Keyword(s):  
Regular Approximation ◽  
Link Grammar

Cognitive Intelligence

2016 ◽  
Vol 10 (4) ◽  
pp. 1-20 ◽  
Author(s):  
Yingxu Wang ◽  
Bernard Widrow ◽  
Lotfi A. Zadeh ◽  
Newton Howard ◽  
Sally Wood ◽  
...  
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Computational Intelligence ◽  
Cognitive Systems ◽  
Cognitive Computing ◽  
Cognitive Intelligence ◽  
Basic Studies ◽  
Deep Reasoning ◽  
Intelligence Theories ◽  
The Brain

The theme of IEEE ICCI*CC'16 on Cognitive Informatics (CI) and Cognitive Computing (CC) was on cognitive computers, big data cognition, and machine learning. CI and CC are a contemporary field not only for basic studies on the brain, computational intelligence theories, and denotational mathematics, but also for engineering applications in cognitive systems towards deep learning, deep thinking, and deep reasoning. This paper reports a set of position statements presented in the plenary panel (Part I) in IEEE ICCI*CC'16 at Stanford University. The summary is contributed by invited panelists who are part of the world's renowned scholars in the transdisciplinary field of CI and CC.

Deep Reasoning for Enhancing Etextbooks (DREE): Using Deep-Level Questions for Guiding Learning

2018 ◽  
Vol 62 (1) ◽  
pp. 341-345
Author(s):  
Scotty D. Craig ◽  
Shasha Zhang ◽  
Deborah Prewitt
Keyword(s):  
College Students ◽  
Deep Level ◽  
Web Based ◽  
Self Test ◽  
Deep Reasoning

The popularity of ebooks does not extend to an increasing interest in etextbooks among students. A common form of etextbooks is the digital replica of the original printed book; however, a lack of interactivity was considered as an issue of etextbook among college students. To explore the potential beneficial interactive affordances, this study proposes a web-based interactive etextbook with built-in multimedia videos and self-test quizzes. Assessments have been conducted to examine the effect of using the interactive etextbook on learning and perception of learning. The results imply that a combination of multiple interactive features in etextbooks could produce optimal perception on learning and show the potential for impacting learning.

Link Grammar Parser for Turkic languages and algorithms for estimation the relevance of documents

2016 ◽  
Author(s):  
Batura Tatiana Victorovna ◽  
Tazhibayeva Saule Zhaksylykbayevna ◽  
Murzin Feodor Alexandrovich ◽  
Yerimbetova Aigerim Sembekovna ◽  
Sagnayeva Saule Kairolliyevna ◽  
...  
Keyword(s):  
Turkic Languages ◽  
Link Grammar
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