Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Alt, Christoph."'
The objective of Information Extraction (IE) is to derive structured representations from unstructured or semi-structured documents. However, developing IE models is complex due to the need of integrating several subtasks. Additionally, representatio
Externí odkaz:
http://arxiv.org/abs/2406.00007
Autor:
Alt, Christoph, Lanser, Martin, Plewinski, Jonas, Janki, Atin, Klawonn, Axel, Köstler, Harald, Selzer, Michael, Rüde, Ulrich
Publikováno v:
International Journal of Parallel, Emergent & Distributed Systems, 2024
For scientific software, especially those used for large-scale simulations, achieving good performance and efficiently using the available hardware resources is essential. It is important to regularly perform benchmarks to ensure the efficient use of
Externí odkaz:
http://arxiv.org/abs/2403.01579
In the context of particle detectors, low-temperature covalent wafer-wafer bonding allows for integration of high-Z materials as absorbing layers with readout chips produced in standard CMOS processes. This enables for instance the fabrication of nov
Externí odkaz:
http://arxiv.org/abs/2211.15315
Autor:
Roller, Roland, Seiffe, Laura, Ayach, Ammer, Möller, Sebastian, Marten, Oliver, Mikhailov, Michael, Alt, Christoph, Schmidt, Danilo, Halleck, Fabian, Naik, Marcel, Duettmann, Wiebke, Budde, Klemens
Background: In the information extraction and natural language processing domain, accessible datasets are crucial to reproduce and compare results. Publicly available implementations and tools can serve as benchmark and facilitate the development of
Externí odkaz:
http://arxiv.org/abs/2207.03885
Relation classification models are conventionally evaluated using only a single measure, e.g., micro-F1, macro-F1 or AUC. In this work, we analyze weighting schemes, such as micro and macro, for imbalanced datasets. We introduce a framework for weigh
Externí odkaz:
http://arxiv.org/abs/2205.09460
Pre-trained language models (PLM) are effective components of few-shot named entity recognition (NER) approaches when augmented with continued pre-training on task-specific out-of-domain data or fine-tuning on in-domain data. However, their performan
Externí odkaz:
http://arxiv.org/abs/2204.04980
Autor:
Alt, Christoph D., Müller, Nadia U.C.B., Riegger, Luise M., Aktekin, Burak, Minnmann, Philip, Peppler, Klaus, Janek, Jürgen
Publikováno v:
In Joule 16 October 2024 8(10):2755-2776
Definition Extraction systems are a valuable knowledge source for both humans and algorithms. In this paper we describe our submissions to the DeftEval shared task (SemEval-2020 Task 6), which is evaluated on an English textbook corpus. We provide a
Externí odkaz:
http://arxiv.org/abs/2103.17090
Publikováno v:
JHEP 04 (2021) 243
We report on an updated sensitivity for proton decay via $p \rightarrow \bar{\nu} K^+ $ at large, dual phase liquid argon time projection chambers (LAr TPCs). Our work builds on a previous study in which several nucleon decay channels have been simul
Externí odkaz:
http://arxiv.org/abs/2010.06552
Named Entity Recognition (NER) in domains like e-commerce is an understudied problem due to the lack of annotated datasets. Recognizing novel entity types in this domain, such as products, components, and attributes, is challenging because of their l
Externí odkaz:
http://arxiv.org/abs/2005.11075