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Dive into the research topics where Diane Napolitano is active.

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Featured researches published by Diane Napolitano.


Elementary School Journal | 2014

The TextEvaluator Tool

Kathleen M. Sheehan; Irene Kostin; Diane Napolitano; Michael Flor

This article describes TextEvaluator, a comprehensive text-analysis system designed to help teachers, textbook publishers, test developers, and literacy researchers select reading materials that are consistent with the text-complexity goals outlined in the Common Core State Standards. Three particular aspects of the TextEvaluator measurement approach are highlighted: (1) attending to relevant reader and task considerations, (2) expanding construct coverage beyond the two dimensions of text variation traditionally assessed by readability metrics, and (3) addressing two potential threats to tool validity: genre bias and blueprint bias. We argue that systems that are attentive to these particular measurement issues may be more effective at helping users achieve a key goal of the new Standards: ensuring that students are challenged to read texts at steadily increasing complexity levels as they progress through school, so that all students acquire the advanced reading skills needed for success in college and careers.


north american chapter of the association for computational linguistics | 2016

Spoken Text Difficulty Estimation Using Linguistic Features.

Su-Youn Yoon; Yeonsuk Cho; Diane Napolitano

We present an automated method for estimating the difficulty of spoken texts for use in generating items that assess non-native learners’ listening proficiency. We collected information on the perceived difficulty of listening to various English monologue speech samples using a Likert-scale questionnaire distributed to 15 non-native English learners. We averaged the overall rating provided by three nonnative learners at different proficiency levels into an overall score of listenability. We then trained a multiple linear regression model with the listenability score as the dependent variable and features from both natural language and speech processing as the independent variables. Our method demonstrated a correlation of 0.76 with the listenability score, comparable to the agreement between the nonnative learners’ ratings and the listenability score.


north american chapter of the association for computational linguistics | 2015

Online Readability and Text Complexity Analysis with TextEvaluator

Diane Napolitano; Kathleen M. Sheehan; Robert Mundkowsky

We have developed the TextEvaluator system for providing text complexity and Common Core-aligned readability information. Detailed text complexity information is provided by eight component scores, presented in such a way as to aid in the user’s understanding of the overall readability metric, which is provided as a holistic score on a scale of 100 to 2000. The user may select a targeted US grade level and receive additional analysis relative to it. This and other capabilities are accessible via a feature-rich front-end, located at http://texteval-pilot.ets.org/TextEvaluator/.


north american chapter of the association for computational linguistics | 2013

Robust Systems for Preposition Error Correction Using Wikipedia Revisions

Aoife Cahill; Nitin Madnani; Joel R. Tetreault; Diane Napolitano


Proceedings of the Workshop on Natural Language Processing for Improving Textual Accessibility | 2013

A Two-Stage Approach for Generating Unbiased Estimates of Text Complexity

Kathleen M. Sheehan; Michael Flor; Diane Napolitano


arXiv: Computation and Language | 2014

Is getting the right answer just about choosing the right words? The role of syntactically-informed features in short answer scoring.

Derrick Higgins; Chris Brew; Michael Heilman; Ramon Ziai; Lei Chen; Aoife Cahill; Michael Flor; Nitin Madnani; Joel R. Tetreault; Daniel Blanchard; Diane Napolitano; Chong Min Lee; John Blackmore


Archive | 2013

Systems and Methods for Evaluating Difficulty of Spoken Text

Su-Youn Yoon; Yeonsuk Cho; Klaus Zechner; Diane Napolitano


international conference on computational linguistics | 2018

Writing Mentor: Self-Regulated Writing Feedback for Struggling Writers.

Nitin Madnani; Jill Burstein; Norbert Elliot; Beata Beigman Klebanov; Diane Napolitano; Slava Andreyev; Maxwell Schwartz


ETS Research Report Series | 2018

A Robust Microservice Architecture for Scaling Automated Scoring Applications: Microservice Architecture for Automated Scoring

Nitin Madnani; Aoife Cahill; Daniel Blanchard; Slava Andreyev; Diane Napolitano; Binod Gyawali; Michael Heilman; Chong Min Lee; Chee Wee Leong; Matthew Mulholland; Brian Riordan


Archive | 2016

skll: SKLL 1.2

Dan Blanchard; nineil; Nitin Madnani; Michael Heilman; Chee Wee Leong; funes; stonebig; Matt Mulholland; Aoife Cahill; Keelan Evanini; Diane Napolitano; Bitdeli Chef

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Aoife Cahill

University of Stuttgart

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Michael Flor

University of Cambridge

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