Journal ArticleDOI
Automatic scoring for answers to Arabic test questions
Wael Hassan Gomaa,Aly A. Fahmy +1 more
TLDR
This research presents the first benchmark Arabic data set that contains 610 students’ short answers together with their English translations, and focuses on applying multiple similarity measures separately and in combination.About:
This article is published in Computer Speech & Language.The article was published on 2014-07-01. It has received 41 citations till now. The article focuses on the topics: Text processing & Semantic similarity.read more
Citations
More filters
Book ChapterDOI
Word Representations in Vector Space and their Applications for Arabic
TL;DR: This paper compares different techniques to build vectorized space representations for Arabic, and test these models via intrinsic and extrinsic evaluations, and shows that the Arabic vector space to the English counterpart using Cosine error regression neural network outperforms standard mean square error regressors in this task.
Journal ArticleDOI
AAEE – Automated evaluation of students’ essays in Arabic language
TL;DR: This work presents a system to automatically grade the school children essays in Arabic, calling it AAEE for “automatic Arabic essays evaluator”, modeled upon the scoring scheme followed by the school instructors in Saudi Arabia.
Book ChapterDOI
Ans2vec: A Scoring System for Short Answers
Wael Hassan Gomaa,Aly A. Fahmy +1 more
TL;DR: An efficient and uncomplicated short answer grading model named Ans2vec is proposed, used to convert both model and student’s answers into meaningful vectors to measure the similarity between them.
Proceedings Article
Vector Based Techniques for Short Answer Grading.
TL;DR: Various sentence representation techniques and wide range of similarity measures are compared and finally a system for short answer grading is presented that either outperforms the state of the art systems on different data sets or achieves comparable results.
References
More filters
Proceedings ArticleDOI
Bleu: a Method for Automatic Evaluation of Machine Translation
TL;DR: This paper proposed a method of automatic machine translation evaluation that is quick, inexpensive, and language-independent, that correlates highly with human evaluation, and that has little marginal cost per run.
Journal ArticleDOI
The WEKA data mining software: an update
TL;DR: This paper provides an introduction to the WEKA workbench, reviews the history of the project, and, in light of the recent 3.6 stable release, briefly discusses what has been added since the last stable version (Weka 3.4) released in 2003.
Journal ArticleDOI
WordNet: a lexical database for English
TL;DR: WordNet1 provides a more effective combination of traditional lexicographic information and modern computing, and is an online lexical database designed for use under program control.
Journal ArticleDOI
A general method applicable to the search for similarities in the amino acid sequence of two proteins
TL;DR: A computer adaptable method for finding similarities in the amino acid sequences of two proteins has been developed and it is possible to determine whether significant homology exists between the proteins to trace their possible evolutionary development.
Related Papers (5)
Text-to-Text Semantic Similarity for Automatic Short Answer Grading
Michael Mohler,Rada Mihalcea +1 more
Short Answer Grading Using String Similarity And Corpus-Based Similarity
Wael Hassan Gomaa,Aly A. Fahmy +1 more