J
Julián Moreno-Schneider
Researcher at German Research Centre for Artificial Intelligence
Publications - 23
Citations - 316
Julián Moreno-Schneider is an academic researcher from German Research Centre for Artificial Intelligence. The author has contributed to research in topics: Workflow & Digital content. The author has an hindex of 9, co-authored 23 publications receiving 208 citations.
Papers
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Proceedings ArticleDOI
Developing and Orchestrating a Portfolio of Natural Legal Language Processing and Document Curation Services
Georg Rehm,Julián Moreno-Schneider,Jorge Gracia,Artem Revenko,Víctor Mireles,Maria Khvalchik,Ilan Kernerman,Andis Lagzdins,Marcis Pinnis,Artus Vasilevskis,Elena Leitner,Jan Milde,Pia Weißenhorn +12 more
TL;DR: This article presents a portfolio of natural legal language processing and document curation services currently under development in a collaborative European project that is being deployed in different prototype applications using a flexible and scalable microservices architecture.
Book ChapterDOI
Towards User Interfaces for Semantic Storytelling
TL;DR: This article focuses on the current state of the user interfaces of the Semantic Storytelling prototype, which is based on the semantic analysis of document collections and interlink key information contained in the documents of the collection.
Proceedings ArticleDOI
Semantic Storytelling, Cross-lingual Event Detection and other Semantic Services for a Newsroom Content Curation Dashboard
TL;DR: A prototypical content curation dashboard, to be used in the newsroom, and several of its underlying semantic content analysis components (such as named entity recognition, entity linking, summarisation and temporal expression analysis).
Proceedings ArticleDOI
Evaluating document representations for content-based legal literature recommendations
TL;DR: In this paper, a set of state-of-the-art document representation methods for the task of retrieving semantically related US case law is explored. But, these studies are typically evaluated in small-scale user study without any public available benchmark datasets.
Posted Content
Towards an Interoperable Ecosystem of AI and LT Platforms: A Roadmap for the Implementation of Different Levels of Interoperability
Georg Rehm,Dimitrios Galanis,Penny Labropoulou,Stelios Piperidis,Martin Welß,Ricardo Usbeck,Joachim Köhler,Miltos Deligiannis,Katerina Gkirtzou,Johannes Fischer,Christian Chiarcos,Nils Feldhus,Julián Moreno-Schneider,Florian Kintzel,Elena Montiel,Víctor Rodríguez Doncel,John P. McCrae,David Laqua,Irina Patricia Theile,Christian Dittmar,Kalina Bontcheva,Ian Roberts,Andrejs Vasiljevs,Andis Lagzdiņš +23 more
TL;DR: This work devise five different levels (of increasing complexity) of platform interoperability that are suggested to implement in a wider federation of AI/LT platforms.