Michael Roth

Neural Semantic Role Labeling with Dependency Path Embeddings

2016

This paper introduces a novel model for semantic role labeling that makes use of neural sequence modeling techniques.Our approach is motivated by the observation that complex syntactic structures and related phenomena, such as nested subordinations …

Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences

2018

Daniel Khashabi, Snigdha Chaturvedi, Michael Roth, Shyam Upadhyay, Dan Roth. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers). 2018.

SemEval-2018 Task 11: Machine Comprehension Using Commonsense Knowledge

2018

This report summarizes the results of the Se-mEval 2018 task on machine comprehension using commonsense knowledge. For this machine comprehension task, we created a new corpus, MCScript. It contains a high number of questions that …