Papers by Nitin Madnani
Automated Evaluation of Writing – 50 Years and Counting (2020.acl-main)
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| Challenge: | In 1966, Ellis Page provided proof-of-concept for automated grading of essays . current research is working to address outstanding challenges dealing with a variety of languages, content domains, and writing tasks. |
| Approach: | They discuss some of the current frontiers in the field and offer some thoughts on the emergent uses of this technology. |
| Outcome: | The paper examines the current frontiers in the field and offers some thoughts on the emergent uses of this technology. |
Writing Mentor: Self-Regulated Writing Feedback for Struggling Writers (C18-2)
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Nitin Madnani, Jill Burstein, Norbert Elliot, Beata Beigman Klebanov, Diane Napolitano, Slava Andreyev, Maxwell Schwartz
| Challenge: | Writing Mentor provides feedback on various aspects of writing using natural language processing (NLP) methods and resources. |
| Approach: | They propose to use natural language processing (NLP) to generate feedback on various aspects of writing using categorized and actionable resources. |
| Outcome: | The add-on provides feedback on various aspects of writing using natural language processing (NLP) methods and resources. |
My Turn To Read: An Interleaved E-book Reading Tool for Developing and Struggling Readers (P19-3)
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Nitin Madnani, Beata Beigman Klebanov, Anastassia Loukina, Binod Gyawali, Patrick Lange, John Sabatini, Michael Flor
| Challenge: | My Turn To Read is an educational app that helps struggling readers improve reading skills while reading for meaning and pleasure. |
| Approach: | They propose an app that uses interleaved reading to help struggling readers improve reading skills while reading for meaning and pleasure. |
| Outcome: | The app helps struggling readers improve reading skills while reading for meaning and pleasure. |
Automated Scoring: Beyond Natural Language Processing (C18-1)
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| Challenge: | In this paper, we argue that building operational automated scoring systems is a task that has disciplinary complexity above and beyond competitive shared tasks. |
| Approach: | They argue that building operational automated scoring systems is a task that has disciplinary complexity above and beyond standard competitive shared tasks . they argue that it is essential for us as NLP researchers to understand and incorporate these perspectives in our research and work towards a mutually satisfactory solution . |
| Outcome: | The proposed approach is based on the findings of a recent conference on automated scoring. |
Atypical Inputs in Educational Applications (N18-3)
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| Challenge: | atypical characteristics of some responses make it difficult for an automated scoring system to assign a valid score . a typical spoken response with a lot of background noise may suffer from frequent errors in automated speech recognition . |
| Approach: | They propose a pipeline that detects and processes non-scorable responses at run-time . they also propose linguistic filtering models for spoken responses in language tests . |
| Outcome: | The proposed pipeline detects and processes non-scorable responses at run-time and evaluates them for spoken responses in language proficiency assessment. |