Exploiting Morphological, Grammatical, and Semantic Correlates for Improved Text Difficulty Assessment

doi 10.3115/v1/w14-1819
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Association for Computational Linguistics

Related search

A Language-Independent Approach to Automatic Text Difficulty Assessment for Second-Language Learners

2013English

Constrained Semantic Forests for Improved Discriminative Semantic Parsing

2015English

Exploiting the Social and Semantic Web for Guided Web Archiving

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2012English

TM-SGTD: Text Mining Based Semantic Graph for Text Document Approach for Text Representation

International Journal of Engineering and Technology
Transfer ProcessesFluid FlowMechanical EngineeringAerospace Engineering
2017English

Exploiting Semantic Web Technologies for Harmonizing E-Markets

Information Technology and Tourism
Computer Science ApplicationsInformation SystemsTourismHospitality ManagementLeisure
2005English

Visual Semantic Reasoning for Image-Text Matching

2019English

JAPANESE TEXT PRESENTATION SYSTEM FOR PERSONS WITH READING DIFFICULTY - Design and Implementation

2012English

Syntactic and Semantic Kernels for Short Text Pair Categorization

2009English

Event-Related Brain Potentials to Grammatical Errors and Semantic Anomalies

Memory and Cognition
ArtsNeuropsychologyCognitive PsychologyHumanitiesPhysiological PsychologyMedicineExperimental
1983English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy