Search Results for author: Mark Sammons

Found 12 papers, 1 papers with code

Adapting to Learner Errors with Minimal Supervision

no code implementations CL 2017 Alla Rozovskaya, Dan Roth, Mark Sammons

This article considers the problem of correcting errors made by English as a Second Language writers from a machine learning perspective, and addresses an important issue of developing an appropriate training paradigm for the task, one that accounts for error patterns of non-native writers using minimal supervision.

EDISON: Feature Extraction for NLP, Simplified

no code implementations LREC 2016 Mark Sammons, Christos Christodoulopoulos, Parisa Kordjamshidi, Daniel Khashabi, Vivek Srikumar, Dan Roth

We present EDISON, a Java library of feature generation functions used in a suite of state-of-the-art NLP tools, based on a set of generic NLP data structures.

ILLINOISCLOUDNLP: Text Analytics Services in the Cloud

no code implementations LREC 2014 Hao Wu, Zhiye Fei, Aaron Dai, Mark Sammons, Dan Roth, Stephen Mayhew

Natural Language Processing (NLP) continues to grow in popularity in a range of research and commercial applications.

Knowledge Base Population

An NLP Curator (or: How I Learned to Stop Worrying and Love NLP Pipelines)

no code implementations LREC 2012 James Clarke, Vivek Srikumar, Mark Sammons, Dan Roth

Natural Language Processing continues to grow in popularity in a range of research and commercial applications, yet managing the wide array of potential NLP components remains a difficult problem.

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