Search Results for author:
Found 9 papers, 5 papers with code
Aligning Actions Across Recipe Graphs
Recipe texts are an idiosyncratic form of instructional language that pose unique challenges for automatic understanding.
MC-Saar-Instruct: a Platform for Minecraft Instruction Giving Agents
We present a comprehensive platform to run human-computer experiments where an agent instructs a human in Minecraft, a 3D blocksworld environment.
Generating Instructions at Different Levels of Abstraction
When generating technical instructions, it is often convenient to describe complex objects in the world at different levels of abstraction.
Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records
De-identification is the task of detecting protected health information (PHI) in medical text.
Every child should have parents: a taxonomy refinement algorithm based on hyperbolic term embeddings
We introduce the use of Poincar\'e embeddings to improve existing state-of-the-art approaches to domain-specific taxonomy induction from text as a signal for both relocating wrong hyponym terms within a (pre-induced) taxonomy as well as for attaching disconnected terms in a taxonomy.
Finding the way from ä to a: Sub-character morphological inflection for the SIGMORPHON 2018 Shared Task
In this paper we describe the system submitted by UHH to the CoNLL--SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection.
Open Source Automatic Speech Recognition for German
The models are trained on a total of 412 hours of German read speech data and we achieve a relative word error reduction of 26% by adding data from the Spoken Wikipedia Corpus to the previously best freely available German acoustic model recipe and dataset.
Ranked #6 on
Speech Recognition
on TUDA
(using extra training data)
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
An Empirical Analysis of the Correlation of Syntax and Prosody
The relation of syntax and prosody (the syntax--prosody interface) has been an active area of research, mostly in linguistics and typically studied under controlled conditions.
Incremental Natural Language Processing: Challenges, Strategies, and Evaluation
Incrementality is ubiquitous in human-human interaction and beneficial for human-computer interaction.
