An overview of automated scoring of essays
S Dikli - The Journal of Technology, Learning and Assessment, 2006 - ejournals.bc.edu
Abstract Automated Essay Scoring (AES) is defined as the computer technology that
evaluates and scores the written prose (Shermis & Barrera, 2002; Shermis & Burstein, 2003; …
evaluates and scores the written prose (Shermis & Barrera, 2002; Shermis & Burstein, 2003; …
Is semantic priming due to association strength or feature overlap? A microanalytic review
KA Hutchison - Psychonomic bulletin & review, 2003 - Springer
In a recent meta-analysis, Lucas (2000) concluded that there is strong evidence of an overall
pure semantic priming effect but no evidence of priming based purely on association. In the …
pure semantic priming effect but no evidence of priming based purely on association. In the …
The secret life of pronouns
JW Pennebaker - New Scientist, 2011 - Elsevier
The secret life of pronouns - ScienceDirect Skip to main contentSkip to article Elsevier logo
Journals & Books Help Search My account Sign in View PDF Download full issue Search …
Journals & Books Help Search My account Sign in View PDF Download full issue Search …
[引用][C] Comprehension: A paradigm for cognition
W Kintsch - 이해: 인지패러다임/나남, 1998 - books.google.com
In this book, Walter Kintsch presents a theory of human text comprehension and extends his
analysis to related areas. Comprehension is conceptualized as a two-stage process: first …
analysis to related areas. Comprehension is conceptualized as a two-stage process: first …
An introduction to latent semantic analysis
TK Landauer, PW Foltz, D Laham - Discourse processes, 1998 - Taylor & Francis
Latent Semantic Analysis (LSA) is a theory and method for extracting and representing the
contextual‐usage meaning of words by statistical computations applied to a large corpus of …
contextual‐usage meaning of words by statistical computations applied to a large corpus of …
The psychological functions of function words
C Chung, J Pennebaker - Social communication, 2011 - taylorfrancis.com
Language is the currency of most human social processes. We use words to convey our
emotions and thoughts, to tell stories, and to understand the world. It is somewhat odd, then …
emotions and thoughts, to tell stories, and to understand the world. It is somewhat odd, then …
A comparative study on word embeddings in deep learning for text classification
Word embeddings act as an important component of deep models for providing input
features in downstream language tasks, such as sequence labelling and text classification …
features in downstream language tasks, such as sequence labelling and text classification …
Coh-Metrix: Analysis of text on cohesion and language
Advances in computational linguistics and discourse processing have made it possible to
automate many language-and text-processing mechanisms. We have developed a …
automate many language-and text-processing mechanisms. We have developed a …
[图书][B] Handbook of latent semantic analysis
TK Landauer, DS McNamara, S Dennis, W Kintsch - 2007 - books.google.com
The Handbook of Latent Semantic Analysis is the authoritative reference for the theory
behind Latent Semantic Analysis (LSA), a burgeoning mathematical method used to analyze …
behind Latent Semantic Analysis (LSA), a burgeoning mathematical method used to analyze …
The measurement of textual coherence with latent semantic analysis
PW Foltz, W Kintsch, TK Landauer - Discourse processes, 1998 - Taylor & Francis
Latent Semantic Analysis (LSA) is used as a technique for measuring the coherence of texts.
By comparing the vectors for 2 adjoining segments of text in a high‐dimensional semantic …
By comparing the vectors for 2 adjoining segments of text in a high‐dimensional semantic …