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cs.CL2019

Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records

Max Friedrich, Arne Köhn, Gregor Wiedemann +1

De-identification is the task of detecting protected health information (PHI) in medical text. It is a critical step in sanitizing electronic health records (EHRs) to be shared for…

cs.CL2019

Every child should have parents: a taxonomy refinement algorithm based on hyperbolic term embeddings

Rami Aly, Shantanu Acharya, Alexander Ossa +3

We introduce the use of Poincaré embeddings to improve existing state-of-the-art approaches to domain-specific taxonomy induction from text as a signal for both relocating wrong hy…

cs.CL2018

Finding the way from ä to a: Sub-character morphological inflection for the SIGMORPHON 2018 Shared Task

Fynn Schröder, Marcel Kamlot, Gregor Billing +1

In this paper we describe the system submitted by UHH to the CoNLL--SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection. We propose a neural architecture based on the…

cs.CL2018

Open Source Automatic Speech Recognition for German

Benjamin Milde, Arne Köhn

High quality Automatic Speech Recognition (ASR) is a prerequisite for speech-based applications and research. While state-of-the-art ASR software is freely available, the language…

cs.CL2018

An Empirical Analysis of the Correlation of Syntax and Prosody

Arne Köhn, Timo Baumann, Oskar Dörfler

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. Mor…

cs.CL2018

Incremental Natural Language Processing: Challenges, Strategies, and Evaluation

Arne Köhn

Incrementality is ubiquitous in human-human interaction and beneficial for human-computer interaction. It has been a topic of research in different parts of the NLP community, most…