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Investigating Conversational Search Behavior For Domain Exploration


Jan 10, 2023
Phillip Schneider, Anum Afzal, Juraj Vladika, Daniel Braun, Florian Matthes

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* Accepted to ECIR 2023 

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Evaluating Unsupervised Text Classification: Zero-shot and Similarity-based Approaches


Nov 29, 2022
Tim Schopf, Daniel Braun, Florian Matthes

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* Accepted to 6th International Conference on Natural Language Processing and Information Retrieval (NLPIR '22) 

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Semantic Similarity-Based Clustering of Findings From Security Testing Tools


Nov 20, 2022
Phillip Schneider, Markus Voggenreiter, Abdullah Gulraiz, Florian Matthes

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* Accepted to ICNLSP 2022 

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Lbl2Vec: An Embedding-Based Approach for Unsupervised Document Retrieval on Predefined Topics


Oct 12, 2022
Tim Schopf, Daniel Braun, Florian Matthes

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* In Proceedings of the 17th International Conference on Web Information Systems and Technologies - WEBIST, ISBN 978-989-758-536-4; ISSN 2184-3252, pages 124-132 (2021) 

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PatternRank: Leveraging Pretrained Language Models and Part of Speech for Unsupervised Keyphrase Extraction


Oct 12, 2022
Tim Schopf, Simon Klimek, Florian Matthes

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* Accepted to 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KDIR 

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A Decade of Knowledge Graphs in Natural Language Processing: A Survey


Sep 30, 2022
Phillip Schneider, Tim Schopf, Juraj Vladika, Mikhail Galkin, Elena Simperl, Florian Matthes

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* Accepted to AACL-IJCNLP 2022 

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Differential Privacy in Natural Language Processing: The Story So Far


Aug 17, 2022
Oleksandra Klymenko, Stephen Meisenbacher, Florian Matthes

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CodeTrans: Towards Cracking the Language of Silicone's Code Through Self-Supervised Deep Learning and High Performance Computing


Apr 06, 2021
Ahmed Elnaggar, Wei Ding, Llion Jones, Tom Gibbs, Tamas Feher, Christoph Angerer, Silvia Severini, Florian Matthes, Burkhard Rost

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* 28 pages, 6 tables and 1 figure 

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Multi-Task Deep Learning for Legal Document Translation, Summarization and Multi-Label Classification


Oct 16, 2018
Ahmed Elnaggar, Christoph Gebendorfer, Ingo Glaser, Florian Matthes

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* 10 pages, 4 figures 

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Named-Entity Linking Using Deep Learning For Legal Documents: A Transfer Learning Approach


Oct 15, 2018
Ahmed Elnaggar, Robin Otto, Florian Matthes

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* 10 pages, 2 figures, 3 tables 

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