2 citations · 5 across the 7 of their papers we have counts for
11 papers
Validity Assessment of Legal Will Statements as Natural Language Inference
Alice Saebom Kwak, Jacob O. Israelsen, Clayton T. Morrison +2
This work introduces a natural language inference (NLI) dataset that focuses on the validity of statements in legal wills. This dataset is unique because: (a) each entailment decis…
Learning Open Domain Multi-hop Search Using Reinforcement Learning
Enrique Noriega-Atala, Mihai Surdeanu, Clayton T. Morrison
We propose a method to teach an automated agent to learn how to search for multi-hop paths of relations between entities in an open domain. The method learns a policy for directing…
Federated Reconnaissance: Efficient, Distributed, Class-Incremental Learning
Sean M. Hendryx, Dharma Raj KC, Bradley Walls +1
We describe federated reconnaissance, a class of learning problems in which distributed clients learn new concepts independently and communicate that knowledge efficiently. In part…
AutoMATES: Automated Model Assembly from Text, Equations, and Software
Adarsh Pyarelal, Marco A. Valenzuela-Escarcega, Rebecca Sharp +6
Models of complicated systems can be represented in different ways - in scientific papers, they are represented using natural language text as well as equations. But to be of real…
Meta-Learning Initializations for Image Segmentation
Sean M. Hendryx, Andrew B. Leach, Paul D. Hein +1
We extend first-order model agnostic meta-learning algorithms (including FOMAML and Reptile) to image segmentation, present a novel neural network architecture built for fast learn…
Inter-sentence Relation Extraction for Associating Biological Context with Events in Biomedical Texts
Enrique Noriega-Atala, Paul D. Hein, Shraddha S. Thumsi +3
We present an analysis of the problem of identifying biological context and associating it with biochemical events in biomedical texts. This constitutes a non-trivial, inter-senten…