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20072026
most citedHybrid Intelligence

720 citations

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6 papers · 1 filter

cs.CL2024★ 1 cited

RadEx: A Framework for Structured Information Extraction from Radiology Reports based on Large Language Models

Daniel Reichenpfader, Jonas Knupp, André Sander +1

Annually and globally, over three billion radiography examinations and computer tomography scans result in mostly unstructured radiology reports containing free text. Despite the p…

cs.CL2023★ 4 cited

Analyzing FOMC Minutes: Accuracy and Constraints of Language Models

Wonseong Kim, Jan Frederic Spörer, Siegfried Handschuh

This research article analyzes the language used in the official statements released by the Federal Open Market Committee (FOMC) after its scheduled meetings to gain insights into…

cs.CL2021★ 2 cited

Exploring the Promises of Transformer-Based LMs for the Representation of Normative Claims in the Legal Domain

Reto Gubelmann, Peter Hongler, Siegfried Handschuh

In this article, we explore the potential of transformer-based language models (LMs) to correctly represent normative statements in the legal domain, taking tax law as our use case…

cs.CL2021★ 1 cited

Continual Speaker Adaptation for Text-to-Speech Synthesis

Hamed Hemati, Damian Borth

Training a multi-speaker Text-to-Speech (TTS) model from scratch is computationally expensive and adding new speakers to the dataset requires the model to be re-trained. The naive…

cs.CL2018★ 16 cited

Graphene: Semantically-Linked Propositions in Open Information Extraction

Matthias Cetto, Christina Niklaus, André Freitas +1

We present an Open Information Extraction (IE) approach that uses a two-layered transformation stage consisting of a clausal disembedding layer and a phrasal disembedding layer, to…

cs.CL2018★ 9 cited

A Survey on Open Information Extraction

Christina Niklaus, Matthias Cetto, André Freitas +1

We provide a detailed overview of the various approaches that were proposed to date to solve the task of Open Information Extraction. We present the major challenges that such syst…