Papers for Relevance Assessment by Jonathan Brown

Research Question: Is it possible to automatically generate questions that work as well as human-written questions to assess a user's vocabulary knowledge?

Paper ID
(Link to PDF)

Title

Author(s)

W03-12_SHORT_levow_sigdial

Learning to Speak to a Spoken Language System: Vocabulary Convergence in Novice Users

Gina-Anne Levow

H05-2010

WebExperimenter for Multiple-Choice Question Generation

Ayako Hoshino; Hiroshi Nakagawa

E91-1053

TOWARDS A CORE VOCABULARY FOR A NATURAL LANGUAGE SYSTEM

Hubert Lehmann

W05-0210

Measuring Non-native Speakers’ Proficiency of English by Using a Test with Automatically-Generated Fill-in-the-Blank Questions

Eiichiro Sumita; Fumiaki Sugaya; Seiichi Yamamoto

W99-0405

Modeling the language assessment process and result: Proposed architecture for automatic oral proficiency assessment

Gina-Anne Levow; Mari Broman Olsen

W01-1002

Human Language Technologies for Knowledge Management

Maybury, Mark

6

E-Assessment using Latent Semantic Analysis in the Computer Science Domain: A Pilot Study

Pete Thomas, Debra Haley, Anne deRoeck and Marian Petre

C94-1051

Anticipating the Reader's Problems and the Automatic Generation of Paraphrases

Nils Lenke

W05-0203

A Real-Time Multiple-Choice Question Generation For Language Testing: A Preliminary Study

Ayako Hoshino; Nakagawa Hiroshi

A97-1026

An Automatic Scoring System For Advanced Placement Biology Essays

Jill Burstein; Susanne Wolff; Chi Lu; Randy M. Kaplan

W03-w9_eacl03baptista.local

Some Families of Compound Temporal Adverbs in Portugese

Jorge Baptista

I05-2008

A System to Solve Language Tests for Second Grade Students

Manami Saito; Kazuhide Yamamoto; Satoshi Sekine; Hitoshi Isahara

C96-1043

Evaluating and comparing three text-production techniques

Jose Coch

P99-1042

Deep Read: A Reading Comprehension System

Lynette Hirschman; Marc Light; Eric Breck; John D. Burger

W03-0203

Computer-Aided Generation of Multiple-Choice Tests

Ruslan Mitkov; Le An Ha