1 code implementation • 30 Aug 2023 • Michael Staniek, Raphael Schumann, Maike Züfle, Stefan Riezler
We present Text-to-OverpassQL, a task designed to facilitate a natural language interface for querying geodata from OpenStreetMap (OSM).
1 code implementation • 12 Jul 2023 • Raphael Schumann, Wanrong Zhu, Weixi Feng, Tsu-Jui Fu, Stefan Riezler, William Yang Wang
In this work, we propose VELMA, an embodied LLM agent that uses a verbalization of the trajectory and of visual environment observations as contextual prompt for the next action.
no code implementations • 25 Jan 2023 • Raphael Schumann, Elman Mansimov, Yi-An Lai, Nikolaos Pappas, Xibin Gao, Yi Zhang
This method interpolates between the weights of the old and new model and we show in extensive experiments that it reduces negative flips without sacrificing the improved accuracy of the new model.
1 code implementation • ACL 2022 • Raphael Schumann, Stefan Riezler
Vision and language navigation (VLN) is a challenging visually-grounded language understanding task.
Ranked #1 on Vision and Language Navigation on map2seq
no code implementations • ACL 2021 • Raphael Schumann, Stefan Riezler
Car-focused navigation services are based on turns and distances of named streets, whereas navigation instructions naturally used by humans are centered around physical objects called landmarks.
Natural Language Landmark Navigation Instructions Generation
2 code implementations • ACL 2020 • Raphael Schumann, Lili Mou, Yao Lu, Olga Vechtomova, Katja Markert
Automatic sentence summarization produces a shorter version of a sentence, while preserving its most important information.
1 code implementation • CONLL 2019 • Raphael Schumann, Ines Rehbein
Active learning (AL) is a technique for reducing manual annotation effort during the annotation of training data for machine learning classifiers.
1 code implementation • 14 Sep 2018 • Raphael Schumann
In this work we present an unsupervised approach to summarize sentences in abstractive way using Variational Autoencoder (VAE).
no code implementations • NAACL 2018 • Marilisa Amoia, Frank Diehl, Jesus Gimenez, Joel Pinto, Raphael Schumann, Fabian Stemmer, Paul Vozila, Yi Zhang
In recent years the use of electronic medical records has accelerated resulting in large volumes of medical data when a patient visits a healthcare facility.