Multiple Objects-Aware Visual Question Generation

1986 ◽

Vol 44 ◽

pp. 34-35

Author(s):

J.R. McIntosh ◽

D.L. Stemple ◽

William Bishop ◽

G.W. Hannaway

Keyword(s):

Computer Graphics ◽

Analytical Methods ◽

Photographic Film ◽

Complex Structures ◽

Multiple Objects ◽

Multiple Images ◽

3 Dimensional

EM specimens often contain 3-dimensional information that is lost during micrography on a single photographic film. Two images of one specimen at appropriate orientations give a stereo view, but complex structures composed of multiple objects of graded density that superimpose in each projection are often difficult to decipher in stereo. Several analytical methods for 3-D reconstruction from multiple images of a serially tilted specimen are available, but they are all time-consuming and computationally intense.

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An aid to independent study through automatic question generation (AUTOQUEST).

PsycEXTRA Dataset ◽

10.1037/e403512004-001 ◽

1975 ◽

Author(s):

John H. Wolfe

Keyword(s):

Independent Study ◽

Question Generation ◽

Automatic Question Generation

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The preview effect in the object-naming task: Evidence for parallel processing of multiple objects

PsycEXTRA Dataset ◽

10.1037/e520562012-939 ◽

2009 ◽

Author(s):

Chen Chen ◽

Manizeh Khan ◽

Jesse Snedeker

Keyword(s):

Parallel Processing ◽

Naming Task ◽

Object Naming ◽

Multiple Objects

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The interpretation of singular nouns in the scope of an event-distributive quantifier

Questions and Answers in Linguistics ◽

10.2478/qal-2019-0001 ◽

2019 ◽

Vol 5 (1) ◽

pp. 1-9

Author(s):

Piotr Gulgowski

Keyword(s):

Present Experiment ◽

Multiple Objects ◽

Multiple Events ◽

Singular Noun ◽

Distributive Operator

Abstract Singular nouns in the scope of a distributive operator have been shown to be treated as conceptually plural (Patson and Warren, 2010). The source of this conceptual plurality is not fully clear. In particular, it is not known whether the concept of plurality associated with a singular noun originates from distributing over multiple objects or multiple events. In the present experiment, iterative expressions (distribution over events) were contrasted with collective and distributive sentences using a Stroop-like interference technique (Berent, Pinker, Tzelgov, Bibi, and Goldfarb, 2005; Patson and Warren, 2010). A trend in the data suggests that event distributivity does not elicit a plural interpretation of a grammatically singular noun, however the results were not statistically significant. Possible causes of the non-significant results are discussed.

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An Automatic Question Generation System using Rule-Based Approach in Bloom’s Taxonomy

Recent Advances in Computer Science and Communications ◽

10.2174/2213275912666191113143335 ◽

2019 ◽

Vol 13 ◽

Author(s):

G Deena ◽

K Raja ◽

K Kannan

Keyword(s):

Language Processing ◽

Learning Process ◽

Question Generation ◽

Test Question ◽

Rule Based ◽

Part Of Speech ◽

Core Idea ◽

Rule Based Approach ◽

Teaching Learning ◽

Automatic Question Generation

: In this competing world, education has become part of everyday life. The process of imparting the knowledge to the learner through education is the core idea in the Teaching-Learning Process (TLP). An assessment is one way to identify the learner’s weak spot of the area under discussion. An assessment question has higher preferences in judging the learner's skill. In manual preparation, the questions are not assured in excellence and fairness to assess the learner’s cognitive skill. Question generation is the most important part of the teaching-learning process. It is clearly understood that generating the test question is the toughest part. Methods: Proposed an Automatic Question Generation (AQG) system which automatically generates the assessment questions dynamically from the input file. Objective: The Proposed system is to generate the test questions that are mapped with blooms taxonomy to determine the learner’s cognitive level. The cloze type questions are generated using the tag part-of-speech and random function. Rule-based approaches and Natural Language Processing (NLP) techniques are implemented to generate the procedural question of the lowest blooms cognitive levels. Analysis: The outputs are dynamic in nature to create a different set of questions at each execution. Here, input paragraph is selected from computer science domain and their output efficiency are measured using the precision and recall.

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