Effect of tuned parameters on an LSA multiple choice questions answering model.
about
Predicting raters' transparency judgments of English and Chinese morphological constituents using latent semantic analysis.Avoid violence, rioting, and outrage; approach celebration, delight, and strength: Using large text corpora to compute valence, arousal, and the basic emotions.Extending monitoring methods to textual data: a research agenda
P2860
Effect of tuned parameters on an LSA multiple choice questions answering model.
description
2009 nî lūn-bûn
@nan
2009 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Effect of tuned parameters on an LSA multiple choice questions answering model.
@ast
Effect of tuned parameters on an LSA multiple choice questions answering model.
@en
Effect of tuned parameters on an LSA multiple choice questions answering model.
@nl
type
label
Effect of tuned parameters on an LSA multiple choice questions answering model.
@ast
Effect of tuned parameters on an LSA multiple choice questions answering model.
@en
Effect of tuned parameters on an LSA multiple choice questions answering model.
@nl
prefLabel
Effect of tuned parameters on an LSA multiple choice questions answering model.
@ast
Effect of tuned parameters on an LSA multiple choice questions answering model.
@en
Effect of tuned parameters on an LSA multiple choice questions answering model.
@nl
P2093
P2860
P356
P1476
Effect of tuned parameters on an LSA multiple choice questions answering model.
@en
P2093
Alain Lifchitz
Guy Denhière
Sandra Jhean-Larose
P2860
P2888
P304
P356
10.3758/BRM.41.4.1201
P577
2009-11-01T00:00:00Z
P6179
1009838544