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Dr.-Ing. Leonhard Hennig

Organizational unit Speech and Language Technology
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Publications

MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset

Leonhard Hennig; Philippe Thomas; Sebastian Möller

In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Annual Meeting of the Association for Computational Linguistics (ACL-2023), July 9-14, Online and Toronto, Canada, Pages 3785-3801, Association for Computational Linguistics, 7/2023.

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Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods

Nils Feldhus; Leonhard Hennig; Maximilian Dustin Nasert; Christopher Ebert; Robert Schwarzenberg; Sebastian Möller

In: Greg Durrett; Bhavana Dalvi; Jason Wei; Peter Jansen; Danilo Ribeiro; Lionel Wong (Hrsg.). Proceedings of the First Workshop on Natural Language Reasoning and Structured Explanations (NLRSE 2023). Annual Meeting of the Association for Computational Linguistics (ACL-2023), July 13, Toronto, Canada, Association for Computational Linguistics, 2023.

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Text2Tech – Deep Learning-based Text Mining for Technology Monitoring in Automotive Production

Jan-Tilman Seipp; Felix Köhler; David Harbecke; Leonhard Hennig; Phuc Tran Truong

In: 13th Global TechMining Conference 2023 - Conference Proceedings. Global TechMining Conference, November 10, Global TechMining Conference, 2023.

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All publications

Profile

  • Data4Transparency

    Data Science and NLP for transparency

    According to the World Bank and the UN, some US$1tn is paid in bribes every year. Corrupt financial transactions divert funds from legitimate public services, as well as distort free…

  • Text2Tech

    Deep Learning-based Text Mining for Technology Monitoring in the Automotive Domain

    The observation and analysis of strategic developments in the area surrounding the technology base of a company's products and services is a decisive competitive success factor in a globalized…

    Text2Tech

  • CORA4NLP

    Co(n)textual Reasoning and Adaptation for Natural Language Processing

    Language is implicit - it omits information. Filling this information gap requires contextual inference, background- and commonsense knowledge, and reasoning over situational context. Language also…

    CORA4NLP

  • PLASS

    Platform for Analytical Supply Chain Management Services

    The goal of the PLASS project is the development of a prototypical B2B platform for AI-based decision support for supply chain management. The focus is on the automatic recognition of…

  • BBDCII

    Berliner Big Data Center

    Goals

    In order to optimally prepare industry, science and the society in Germany and Europe for the global Big Data trend, highly coordinated activities in research, teaching, and technology transfer…

    BBDCII