Multiple Instance Learning for Content Feedback Localization without Annotation

no code implementations • WS 2020 • Scott Hellman, William Murray, Adam Wiemerslage, Mark Rosenstein, Peter Foltz, Lee Becker, Marcia Derr

In contrast, we are interested in providing feedback specialized to the content of the essay, and specifically for the content areas required by the rubric.

Automated Essay Scoring Multiple Instance Learning +1

ClearTK 2.0: Design Patterns for Machine Learning in UIMA

no code implementations • LREC 2014 • Steven Bethard, Philip Ogren, Lee Becker

ClearTK adds machine learning functionality to the UIMA framework, providing wrappers to popular machine learning libraries, a rich feature extraction library that works across different classifiers, and utilities for applying and evaluating machine learning models.

BIG-bench Machine Learning Chunking

AVAYA: Sentiment Analysis on Twitter with Self-Training and Polarity Lexicon Expansion

no code implementations • SEMEVAL 2013 • Lee Becker, George Erhart, David Skiba, Valentine Matula

Twitter Sentiment Analysis

Mind the Gap: Learning to Choose Gaps for Question Generation

no code implementations • NAACL 2012 • Lee Becker, Sumit Basu, V, Lucy erwende

Question Generation Question-Generation

Question Ranking and Selection in Tutorial Dialogues

no code implementations • WS 2012 • Lee Becker, Martha Palmer, Sarel van Vuuren, Wayne Ward