Knowledge Enhanced Contextual Word Representations

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.

Entity Linking Entity Typing +3

Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples

1 code implementation • ACL 2018 • Vidur Joshi, Matthew Peters, Mark Hopkins

We revisit domain adaptation for parsers in the neural era.

Domain Adaptation

Beyond Sentential Semantic Parsing: Tackling the Math SAT with a Cascade of Tree Transducers

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).

coreference-resolution Math +3

Interactive Visualization for Linguistic Structure

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.