NLPExplorer

Nitin Madnani

Number of Papers:- 53

Number of Citations:- 354

First ACL Paper:- 2005

Latest ACL Paper:- 2023

Venues:-

NAACL

WMT

EACL

AMTA

EthNLP

ENLG

ACL

*SEMEVAL

EMNLP

BEA

NLPOSS

TACL

HLT

COLING

Co-Authors:-

Similar Authors:-

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Francisco Zamora Martinez

Shyamsundar Jayaraman

William Wong

Safiullah Shareef

Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023) BEA

Beyond the Repo: A Case Study on Open Source Integration with GECToR NLPOSS WS

Sanjna Kashyap | Zhaoyang Xie | Kenneth Steimel | Nitin Madnani |

Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022) BEA NAACL

Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications BEA EACL

Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications ACL BEA WS

Using PRMSE to evaluate automated scoring systems in the presence of label noise ACL BEA WS

Automated Evaluation of Writing – 50 Years and Counting ACL

Beata Beigman Klebanov | Nitin Madnani |

User-centered & Robust NLP OSS: Lessons Learned from Developing & Maintaining RSMTool EMNLP NLPOSS

Nitin Madnani | Anastassia Loukina |

My Turn To Read: An Interleaved E-book Reading Tool for Developing and Struggling Readers ACL

Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications ACL WS

The many dimensions of algorithmic fairness in educational applications ACL WS

Anastassia Loukina | Nitin Madnani | Klaus Zechner |

Toward Automated Content Feedback Generation for Non-native Spontaneous Speech ACL WS

Automated Scoring: Beyond Natural Language Processing COLING

Nitin Madnani | Aoife Cahill |

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

Atypical Inputs in Educational Applications NAACL

Second Language Acquisition Modeling BEA NAACL WS

evision PDF of 'The ACL Anthology: Current State and Future Directions ACL WS

Building Better Open-Source Tools to Support Fairness in Automated Scoring EthNLP WS

Speech- and Text-driven Features for Automated Scoring of English Speaking Tasks WS

Anastassia Loukina | Nitin Madnani | Aoife Cahill |

A Large Scale Quantitative Exploration of Modeling Strategies for Content Scoring BEA WS

Nitin Madnani | Anastassia Loukina | Aoife Cahill |

Language Muse: Automated Linguistic Activity Generation for English Language Learners ACL

The Effect of Multiple Grammatical Errors on Processing Non-Native Writing BEA WS

Courtney Napoles | Aoife Cahill | Nitin Madnani |

Model Combination for Correcting Preposition Selection Errors BEA WS

Nitin Madnani | Michael Heilman | Aoife Cahill |

Automatically Scoring Tests of Proficiency in Music Instruction BEA WS

Nitin Madnani | Aoife Cahill | Brian Riordan |

Effective Feature Integration for Automated Short Answer Scoring NAACL

Keisuke Sakaguchi | Michael Heilman | Nitin Madnani |

The Impact of Training Data on Automated Short Answer Scoring Performance BEA WS

Michael Heilman | Nitin Madnani |

Preliminary Experiments on Crowdsourced Evaluation of Feedback Granularity BEA WS

Predicting Grammaticality on an Ordinal Scale ACL

Content Importance Models for Scoring Writing From Sources ACL

Beata Beigman Klebanov | Nitin Madnani | Jill Burstein | Swapna Somasundaran |

An Explicit Feedback System for Preposition Errors based on Wikipedia Revisions BEA WS

Nitin Madnani | Aoife Cahill |

Robust Systems for Preposition Error Correction Using Wikipedia Revisions NAACL

Aoife Cahill | Nitin Madnani | Joel Tetreault | Diane Napolitano |

ParaQuery: Making Sense of Paraphrase Collections ACL

Lili Kotlerman | Nitin Madnani | Aoife Cahill |

Using Pivot-Based Paraphrasing and Sentiment Profiles to Improve a Subjectivity Lexicon for Essay Data TACL

Beata Beigman Klebanov | Nitin Madnani | Jill Burstein |

HENRY-CORE: Domain Adaptation and Stacking for Text Similarity *SEMEVAL

Michael Heilman | Nitin Madnani |

ETS: Domain Adaptation and Stacking for Short Answer Scoring *SEMEVAL

Michael Heilman | Nitin Madnani |

Automated Scoring of a Summary-Writing Task Designed to Measure Reading Comprehension BEA WS

Nitin Madnani | Jill Burstein | John Sabatini | Tenaha O’Reilly |

Detecting Missing Hyphens in Learner Text BEA WS

Aoife Cahill | Martin Chodorow | Susanne Wolff | Nitin Madnani |

Identifying High-Level Organizational Elements in Argumentative Discourse NAACL

Nitin Madnani | Michael Heilman | Joel Tetreault | Martin Chodorow |

Re-examining Machine Translation Metrics for Paraphrase Identification NAACL

Nitin Madnani | Joel Tetreault | Martin Chodorow |

ETS: Discriminative Edit Models for Paraphrase Scoring *SEMEVAL

Michael Heilman | Nitin Madnani |

Exploring Grammatical Error Correction with Not-So-Crummy Machine Translation WS

Nitin Madnani | Joel Tetreault | Martin Chodorow |

They Can Help: Using Crowdsourcing to Improve the Evaluation of Grammatical Error Detection Systems ACL

Nitin Madnani | Martin Chodorow | Joel Tetreault | Alla Rozovskaya |

The Web is not a PERSON, Berners-Lee is not an ORGANIZATION, and African-Americans are not LOCATIONS: An Analysis of the Performance of Named-Entity Recognition WS

Robert Krovetz | Paul Deane | Nitin Madnani |

Are Multiple Reference Translations Necessary? Investigating the Value of Paraphrased Reference Translations in Parameter Optimization AMTA

Nitin Madnani | Philip Resnik | Bonnie J. Dorr | Richard Schwartz |