Tom McCoy

TAG Parsing with Neural Networks and Vector Representations of Supertags

2017

We present supertagging-based models for Tree Adjoining Grammar parsing that use neural network architectures and dense vector representation of supertags (elementary trees) to achieve state-of-the-art performance in unlabeled and labeled attachment scores. The shift-reduce parsing …

Probing What Different NLP Tasks Teach Machines about Function Word Comprehension

2019

Najoung Kim, Roma Patel, Adam Poliak, Patrick Xia, Alex Wang, Tom McCoy, Ian Tenney, Alexis Ross, Tal Linzen, Benjamin Van Durme, Samuel R. Bowman, Ellie Pavlick. Proceedings of the Eighth Joint Conference on Lexical and …

Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference

2019

A machine learning system can score well on a given test set by relying on heuristics that are effective for frequent example types but break down in more challenging cases. We study this issue within …