no code implementations • LREC (LAW) 2022 • Daniel Bauer, Tom Longley, Yueen Ma, Tony Wilson
In this paper we explore the use of an NLP system to assist the work of Security Force Monitor (SFM).
no code implementations • 16 Jun 2023 • Chad DeChant, Iretiayo Akinola, Daniel Bauer
We therefore demonstrate the task of learning to summarize and answer questions about a robot agent's past actions using natural language alone.
no code implementations • 13 Oct 2022 • Aashish Arora, Harshitha Malireddi, Daniel Bauer, Asad Sayeed, Yuval Marton
Unlike previous work, our model does not require pre-training or fine-tuning on additional tasks, beyond using off-the-shelf (static or contextual) embeddings and supervision.
no code implementations • 13 Mar 2022 • Chad DeChant, Daniel Bauer
We propose and demonstrate the task of giving natural language summaries of the actions of a robotic agent in a virtual environment.
1 code implementation • 13 Jan 2022 • Daniel Bauer, Tom Longley, Yueen Ma, Tony Wilson
In this working paper we explore the use of an NLP system to assist the work of Security Force Monitor (SFM).
no code implementations • 2 Dec 2020 • Daniel Bauer, Lars Kuhnert, Lutz Eckstein
In this work, we describe a novel approach to integrate deep ISMs together with geometric ISMs into the evidential occupancy mapping framework.
no code implementations • 29 Mar 2019 • Daniel Bauer, Lars Kuhnert, Lutz Eckstein
To perform high speed tasks, sensors of autonomous cars have to provide as much information in as few time steps as possible.
no code implementations • 29 Mar 2019 • Daniel Bauer, Lars Kuhnert, Lutz Eckstein
One essential step to realize modern driver assistance technology is the accurate knowledge about the location of static objects in the environment.
no code implementations • LREC 2014 • Fabienne Braune, Daniel Bauer, Kevin Knight
We investigate formalisms for capturing the relation between semantic graphs and English strings.
no code implementations • LREC 2012 • Daniel Bauer, Hagen F{\"u}rstenau, Owen Rambow
When training semantic role labeling systems, the syntax of example sentences is of particular importance.