Stefan Riezler

research

∙ 08/30/2023

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

We present Text-to-OverpassQL, a task designed to facilitate a natural l...

0 Michael Staniek, et al. ∙

research

∙ 07/17/2023

Improving End-to-End Speech Translation by Imitation-Based Knowledge Distillation with Synthetic Transcripts

End-to-end automatic speech translation (AST) relies on data that combin...

0 Rebekka Hubert, et al. ∙

research

∙ 07/17/2023

Enhancing Supervised Learning with Contrastive Markings in Neural Machine Translation Training

Supervised learning in Neural Machine Translation (NMT) typically follow...

0 Nathaniel Berger, et al. ∙

research

∙ 07/12/2023

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

Incremental decision making in real-world environments is one of the mos...

0 Raphael Schumann, et al. ∙

research

∙ 02/08/2023

Towards Inferential Reproducibility of Machine Learning Research

Reliability of machine learning evaluation – the consistency of observed...

0 Michael Hagmann, et al. ∙

research

∙ 10/27/2022

Make More of Your Data: Minimal Effort Data Augmentation for Automatic Speech Recognition and Translation

Data augmentation is a technique to generate new training data based on ...

0 Tsz Kin Lam, et al. ∙

research

∙ 10/05/2022

JoeyS2T: Minimalistic Speech-to-Text Modeling with JoeyNMT

JoeyS2T is a JoeyNMT extension for speech-to-text tasks such as automati...

6 Mayumi Ohta, et al. ∙

research

∙ 09/01/2022

Ensembling Neural Networks for Improved Prediction and Privacy in Early Diagnosis of Sepsis

Ensembling neural networks is a long-standing technique for improving th...

0 Shigehiko Schamoni, et al. ∙

research

∙ 03/25/2022

Analyzing Generalization of Vision and Language Navigation to Unseen Outdoor Areas

Vision and language navigation (VLN) is a challenging visually-grounded ...

2 Raphael Schumann, et al. ∙

research

∙ 03/16/2022

Sample, Translate, Recombine: Leveraging Audio Alignments for Data Augmentation in End-to-end Speech Translation

End-to-end speech translation relies on data that pair source-language s...

0 Tsz Kin Lam, et al. ∙

research

∙ 09/16/2021

Don't Search for a Search Method – Simple Heuristics Suffice for Adversarial Text Attacks

Recently more attention has been given to adversarial attacks on neural ...

0 Nathaniel Berger, et al. ∙

research

∙ 06/23/2021

False perfection in machine prediction: Detecting and assessing circularity problems in machine learning

Machine learning algorithms train models from patterns of input data and...

0 Michael Hagmann, et al. ∙

research

∙ 06/22/2021

Error-Aware Interactive Semantic Parsing of OpenStreetMap

In semantic parsing of geographical queries against real-world databases...

0 Michael Staniek, et al. ∙

research

∙ 04/03/2021

On-the-Fly Aligned Data Augmentation for Sequence-to-Sequence ASR

We propose an on-the-fly data augmentation method for automatic speech r...

0 Tsz Kin Lam, et al. ∙

research

∙ 12/30/2020

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

Car-focused navigation services are based on turns and distances of name...

9 Raphael Schumann, et al. ∙

research

∙ 11/04/2020

Learning from Human Feedback: Challenges for Real-World Reinforcement Learning in NLP

Large volumes of interaction logs can be collected from NLP systems that...

73 Julia Kreutzer, et al. ∙

research

∙ 10/30/2020

Embedding Meta-Textual Information for Improved Learning to Rank

Neural approaches to learning term embeddings have led to improved compu...

0 Toshitaka Kuwa, et al. ∙

research

∙ 10/21/2020

Cascaded Models With Cyclic Feedback For Direct Speech Translation

Direct speech translation describes a scenario where only speech inputs ...

0 Tsz Kin Lam, et al. ∙

research

∙ 06/02/2020

Sparse Perturbations for Improved Convergence in Stochastic Zeroth-Order Optimization

Interest in stochastic zeroth-order (SZO) methods has recently been revi...

0 Mayumi Ohta, et al. ∙

research

∙ 04/23/2020

Correct Me If You Can: Learning from Error Corrections and Markings

Sequence-to-sequence learning involves a trade-off between signal streng...

0 Julia Kreutzer, et al. ∙

research

∙ 10/17/2019

LibriVoxDeEn: A Corpus for German-to-English Speech Translation and Speech Recognition

We present a corpus of sentence-aligned triples of German audio, German ...

0 Benjamin Beilharz, et al. ∙

research

∙ 09/20/2019

Leveraging Implicit Expert Knowledge for Non-Circular Machine Learning in Sepsis Prediction

Sepsis is the leading cause of death in non-coronary intensive care unit...

0 Shigehiko Schamoni, et al. ∙

research

∙ 07/29/2019

Joey NMT: A Minimalist NMT Toolkit for Novices

We present Joey NMT, a minimalist neural machine translation toolkit bas...

0 Julia Kreutzer, et al. ∙

research

∙ 07/11/2019

Self-Regulated Interactive Sequence-to-Sequence Learning

Not all types of supervision signals are created equal: Different types ...

0 Julia Kreutzer, et al. ∙

research

∙ 07/06/2019

Learning Neural Sequence-to-Sequence Models from Weak Feedback with Bipolar Ramp Loss

In many machine learning scenarios, supervision by gold labels is not av...

0 Laura Jehl, et al. ∙

research

∙ 07/04/2019

Interactive-Predictive Neural Machine Translation through Reinforcement and Imitation

We propose an interactive-predictive neural machine translation framewor...

0 Tsz Kin Lam, et al. ∙

research

∙ 11/29/2018

Counterfactual Learning from Human Proofreading Feedback for Semantic Parsing

In semantic parsing for question-answering, it is often too expensive to...

0 Carolin Lawrence, et al. ∙

research

∙ 06/12/2018

Sparse Stochastic Zeroth-Order Optimization with an Application to Bandit Structured Prediction

Stochastic zeroth-order (SZO), or gradient-free, optimization allows to ...

0 Artem Sokolov, et al. ∙

research

∙ 05/27/2018

Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning

We present a study on reinforcement learning (RL) from human bandit feed...

0 Julia Kreutzer, et al. ∙

research

∙ 05/03/2018

A Reinforcement Learning Approach to Interactive-Predictive Neural Machine Translation

We present an approach to interactive-predictive neural machine translat...

0 Tsz Kin Lam, et al. ∙

research

∙ 05/03/2018

Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback

Counterfactual learning from human bandit feedback describes a scenario ...

0 Carolin Lawrence, et al. ∙

research

∙ 04/16/2018

Can Neural Machine Translation be Improved with User Feedback?

We present the first real-world application of methods for improving neu...

0 Julia Kreutzer, et al. ∙

research

∙ 12/13/2017

A User-Study on Online Adaptation of Neural Machine Translation to Human Post-Edits

The advantages of neural machine translation (NMT) have been extensively...

0 Sariya Karimova, et al. ∙

research

∙ 11/23/2017

Counterfactual Learning for Machine Translation: Degeneracies and Solutions

Counterfactual learning is a natural scenario to improve web-based machi...

0 Carolin Lawrence, et al. ∙

research

∙ 07/28/2017

Counterfactual Learning from Bandit Feedback under Deterministic Logging: A Case Study in Statistical Machine Translation

The goal of counterfactual learning for statistical machine translation ...

0 Carolin Lawrence, et al. ∙

research

∙ 07/27/2017

A Shared Task on Bandit Learning for Machine Translation

We introduce and describe the results of a novel shared task on bandit l...

0 Artem Sokolov, et al. ∙

research

∙ 04/21/2017

Bandit Structured Prediction for Neural Sequence-to-Sequence Learning

Bandit structured prediction describes a stochastic optimization framewo...

0 Julia Kreutzer, et al. ∙

research

∙ 06/02/2016

Stochastic Structured Prediction under Bandit Feedback

Stochastic structured prediction under bandit feedback follows a learnin...

0 Artem Sokolov, et al. ∙

research

∙ 01/18/2016

Bandit Structured Prediction for Learning from Partial Feedback in Statistical Machine Translation

We present an approach to structured prediction from bandit feedback, ca...

0 Artem Sokolov, et al. ∙

research

∙ 01/15/2016

Multimodal Pivots for Image Caption Translation

We present an approach to improve statistical machine translation of ima...

0 Julian Hitschler, et al. ∙

research

∙ 05/19/1999

Inducing a Semantically Annotated Lexicon via EM-Based Clustering

We present a technique for automatic induction of slot annotations for s...

0 Mats Rooth, et al. ∙

Stefan Riezler

Featured Co-authors