tailieunhanh - Báo cáo khoa học: "Cognitively Motivated Features for Readability Assessment"

We investigate linguistic features that correlate with the readability of texts for adults with intellectual disabilities (ID). Based on a corpus of texts (including some experimentally measured for comprehension by adults with ID), we analyze the significance of novel discourselevel features related to the cognitive factors underlying our users’ literacy challenges. We develop and evaluate a tool for automatically rating the readability of texts for these users. Our experiments show that our discourselevel, cognitively-motivated features improve automatic readability assessment | Cognitively Motivated Features for Readability Assessment Noémie Elhadad Columbia University New York NY USA noemie@ Lijun Feng The City University of New York Graduate Center New York NY USA Matt Huenerfauth The City University of New York Queens College Graduate Center New York NY USA matt@ Abstract We investigate linguistic features that correlate with the readability of texts for adults with intellectual disabilities ID . Based on a corpus of texts including some experimentally measured for comprehension by adults with ID we analyze the significance of novel discourselevel features related to the cognitive factors underlying our users literacy challenges. We develop and evaluate a tool for automatically rating the readability of texts for these users. Our experiments show that our discourselevel cognitively-motivated features improve automatic readability assessment. 1 Introduction Assessing the degree of readability of a text has been a field of research as early as the 1920 s. Dale and Chall define readability as the sum total including all the interactions of all those elements within a given piece of printed material that affect the success a group of readers have with it. The success is the extent to which they understand it read it at optimal speed and find it interesting Dale and Chall 1949 . It has long been acknowledged that readability is a function of text characteristics but also of the readers themselves. The literacy skills of the readers their motivations background knowledge and other internal characteristics play an important role in determining whether a text is readable for a particular group of people. In our work we investigate how to assess the readability of a text for people with intellectual disabilities ID . Previous work in automatic readability assessment has focused on generic features of a text at the lexical and syntactic level. While such features are essential we argue that .

• Báo cáo khoa học
• Cognitively Motivated Features
• Readability Assessment
• Lijun Feng
• scientific reports
• model language
• process natural language
• Dialog Control
• Natural Language System
• Dialog Control in a Natural Language System
• Expanding the Horizons
• Natural Language Interfaces
• Phil Hayes
• PROSPECTS OR PRACTICAL
• NATURAL LANGUAGE SYSTEMS
• Workshops
• NATURAL LANGUAGE
• INTERACTION WITH MACHINES
• Long Papers
• COMPUTER INTEBFACE DESIGN MURRAY TUROFF DEPARTMENT OF COMPUTER
• IiVFORMATION SCIENCE IIEW JERSEY INSTITUTE OF TECHNOLOGY
• EVALUATION OF NATURAL LANGUAGE
• INTERFACES TO DATABASE SYSTEMS
• A PANEL DISCUSSION
• database query system
• J
• Norwood Crout
• INTERFACES TO DATA BASE SYSTEMS
• Bozena Henisz
• INTERPRETING NATURAL LANGUAGE
• DATABASE UPDATES
• S
• Jermld Kaplan Jim David
• TRANSPORTABLE NATURAL LANGUAGE
• INTERFACES TO DATABASES
• Gary G
• Hendrlx and William H
• Lewis
• DATABASES THEORETICAL
• TECHNICAL ISSUES
• TRANSPORTABLE NATURAL LANGUAGE INTERFACES
• PROBLEMS AND TECHNIQUES
• Barbara J
• Grosz
• THEORETICAL TECHNICAL ISSUES
• NATURAL LANGUAGE ACCESS TO DATABASES
• R
• Petrick
• Domain Independent
• Database Access Systems
• ISSUES IN NATURAL LANGUAGE
• ACCESS TO DATABASES
• A LOGIC PROGRAMMING PERSPECTIVE
• Sharon C
• Salveter David Maier
• PLANNING NATURAL LANGUAGE
• EXPRESSIONS REFERRING
• Douglas E
• Appelt
• THE TEXT SYSTEM
• NATURAL LANGUAGE GENERATION
• Kathleen R
• M
• MENTING A DATABASE
• KNOWLEDGE REPRESENTATION
• THE KEY TO THE SELECTION PROBLEM
• E
• Jeffrey Conklin David D
• McDonald
• A KNOWLEDGE ENGINEERING
• NATURAL LANGUAGE UNDERSTANDING
• Stuart C
• Shapiro
• NATURAL LANGUAGE TEXTS
• NECESSARILY GRAMMATICAL
• EVEN COMPLETE
• UNGRAMHATICALITY
• EXTRA GRAMMATICALITY
• NATURAL LANGUAGE UNDERSTANDING SYSTEMS
• Taxonomy
• Descriptions
• Individuals in Natural
• Language Understanding
• The Use of Ooject Special Knowledge
• Natural Language Processing
• Mark H
• Bursteln