1 code implementation • 21 Oct 2020 • Aditya Kalyanpur, Or Biran, Tom Breloff, Jennifer Chu-Carroll, Ariel Diertani, Owen Rambow, Mark Sammons
Frame semantic parsing is a complex problem which includes multiple underlying subtasks.
no code implementations • EMNLP 2018 • Xiaodong Yu, Stephen Mayhew, Mark Sammons, Dan Roth
Character-level patterns have been widely used as features in English Named Entity Recognition (NER) systems.
Multilingual Named Entity Recognition named-entity-recognition +2
1 code implementation • LREC 2018 • Daniel Khashabi, Mark Sammons, Ben Zhou, Tom Redman, Christos Christodoulopoulos, Vivek Srikumar, Nicholas Rizzolo, Lev Ratinov, Guanheng Luo, Quang Do, Chen-Tse Tsai, Subhro Roy, Stephen Mayhew, Zhili Feng, John Wieting, Xiaodong Yu, Yangqiu Song, Shashank Gupta, Shyam Upadhyay, Naveen Arivazhagan, Qiang Ning, Shaoshi Ling, Dan Roth
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.
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.
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.
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.