Raphael Schumann

According to our database, Raphael Schumann authored at least 10 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Backward Compatibility During Data Updates by Weight Interpolation.

Raphael Schumann, Elman Mansimov, Yi-An Lai, Nikolaos Pappas, Xibin Gao, Yi Zhang

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View.

Raphael Schumann, Wanrong Zhu, Weixi Feng, Tsu-Jui Fu, Stefan Riezler, William Yang Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Text-to-OverpassQL: A Natural Language Interface for Complex Geodata Querying of OpenStreetMap.

Michael Staniek, Raphael Schumann, Maike Züfle, Stefan Riezler

CoRR, 2023

2022

Analyzing Generalization of Vision and Language Navigation to Unseen Outdoor Areas.

Raphael Schumann, Stefan Riezler

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Generating Landmark Navigation Instructions from Maps as a Graph-to-Text Problem.

Raphael Schumann, Stefan Riezler

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction.

Raphael Schumann, Lili Mou, Yao Lu, Olga Vechtomova, Katja Markert

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Active Learning via Membership Query Synthesis for Semi-Supervised Sentence Classification.

Raphael Schumann, Ines Rehbein

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

2018

Unsupervised Abstractive Sentence Summarization using Length Controlled Variational Autoencoder.

Raphael Schumann

CoRR, 2018

Scalable Wide and Deep Learning for Computer Assisted Coding.

Marilisa Amoia, Frank Diehl, Jesús Giménez, Joel Pinto, Raphael Schumann, Fabian Stemmer, Paul Vozila, Yi Zhang

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Incorporating ASR Errors with Attention-Based, Jointly Trained RNN for Intent Detection and Slot Filling.

Raphael Schumann, Pongtep Angkititrakul

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018