Research - Papers
Explore a selection of our published work on a variety of key research challenges in AI.
From Centralized to Ad-Hoc Knowledge Base Construction for Hypotheses Generation.
Objective To demonstrate and develop an approach enabling individual researchers or small teams to create their own ad-hoc, lightweight knowledge bases tailored for specialized scientific interests,…
Interactive Extractive Search over Biomedical Corpora
We present a system that allows life-science researchers to search a linguistically annotated corpus of scientific texts using patterns over dependency graphs, as well as using patterns over token…
pyBART: Evidence-based Syntactic Transformations for IE
Syntactic dependencies can be predicted with high accuracy, and are useful for both machine-learned and pattern-based information extraction tasks. However, their utility can be improved. These…
Syntactic Search by Example
We present a system that allows a user to search a large linguistically annotated corpus using syntactic patterns over dependency graphs. In contrast to previous attempts to this effect, we…