1 code implementation • IJCNLP 2019 • Matthew E. Peters, Mark Neumann, Robert L. Logan IV, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith
Contextual word representations, typically trained on unstructured, unlabeled text, do not contain any explicit grounding to real world entities and are often unable to remember facts about those entities.
Ranked #9 on Relation Classification on TACRED
1 code implementation • ACL 2018 • Vidur Joshi, Matthew Peters, Mark Hopkins
We revisit domain adaptation for parsers in the neural era.
no code implementations • EMNLP 2017 • Mark Hopkins, Cristian Petrescu-Prahova, Roie Levin, Ronan Le Bras, Alvaro Herrasti, Vidur Joshi
We present an approach for answering questions that span multiple sentences and exhibit sophisticated cross-sentence anaphoric phenomena, evaluating on a rich source of such questions {--} the math portion of the Scholastic Aptitude Test (SAT).
no code implementations • EMNLP 2017 • Aaron Sarnat, Vidur Joshi, Cristian Petrescu-Prahova, Alvaro Herrasti, Br Stilson, on, Mark Hopkins
We provide a visualization library and web interface for interactively exploring a parse tree or a forest of parses.