Zobrazeno 1 - 10
of 417
pro vyhledávání: '"P. Oepen"'
Autor:
de la Rosa, Javier, Mikhailov, Vladislav, Zhang, Lemei, Wetjen, Freddy, Samuel, David, Liu, Peng, Braaten, Rolv-Arild, Mæhlum, Petter, Birkenes, Magnus Breder, Kutuzov, Andrey, Enstad, Tita, Brygfjeld, Svein Arne, Gulla, Jon Atle, Oepen, Stephan, Velldal, Erik, Østgulen, Wilfred, Øvrelid, Liljia, Myhre, Aslak Sira
The use of copyrighted materials in training generative language models raises critical legal and ethical questions. This paper presents a framework for and the results of empirically assessing the impact of copyrighted materials on the performance o
Externí odkaz:
http://arxiv.org/abs/2412.09460
Autor:
de Gibert, Ona, Nail, Graeme, Arefyev, Nikolay, Bañón, Marta, van der Linde, Jelmer, Ji, Shaoxiong, Zaragoza-Bernabeu, Jaume, Aulamo, Mikko, Ramírez-Sánchez, Gema, Kutuzov, Andrey, Pyysalo, Sampo, Oepen, Stephan, Tiedemann, Jörg
We present the HPLT (High Performance Language Technologies) language resources, a new massive multilingual dataset including both monolingual and bilingual corpora extracted from CommonCrawl and previously unused web crawls from the Internet Archive
Externí odkaz:
http://arxiv.org/abs/2403.14009
This paper demonstrates how a graph-based semantic parser can be applied to the task of structured sentiment analysis, directly predicting sentiment graphs from text. We advance the state of the art on 4 out of 5 standard benchmark sets. We release t
Externí odkaz:
http://arxiv.org/abs/2203.13209
Structured sentiment analysis attempts to extract full opinion tuples from a text, but over time this task has been subdivided into smaller and smaller sub-tasks, e,g,, target extraction or targeted polarity classification. We argue that this divisio
Externí odkaz:
http://arxiv.org/abs/2105.14504
We present the ongoing NorLM initiative to support the creation and use of very large contextualised language models for Norwegian (and in principle other Nordic languages), including a ready-to-use software environment, as well as an experience repo
Externí odkaz:
http://arxiv.org/abs/2104.06546
Discourse Representation Theory (DRT) is a formal account for representing the meaning of natural language discourse. Meaning in DRT is modeled via a Discourse Representation Structure (DRS), a meaning representation with a model-theoretic interpreta
Externí odkaz:
http://arxiv.org/abs/2012.14837
Autor:
Anlauf, Tim, Prada, Marta, Freercks, Stefan, Bosnjak, Bojan, Frömter, Robert, Sichau, Jonas, Oepen, Hans Peter, Tiemann, Lars, Blick, Robert H.
Publikováno v:
Phys. Rev. Materials 5, 034006 (2021)
The generation of non-equilibrium electron spin polarization, spin transport, and spin detection are fundamental in many quantum devices. We demonstrate that a lattice of magnetic nanodots enhances the electron spin polarization in monolayer graphene
Externí odkaz:
http://arxiv.org/abs/2008.08813
Publikováno v:
Phys. Rev. B 100, 100402 (2019)
The in-plane orientation of the magnetization in the center of domain walls is measured in Co/Ir(111) as a function of Co thickness via scanning electron microscopy with polarization analysis. Uncapped, thermally evaporated cobalt on an Ir(111) singl
Externí odkaz:
http://arxiv.org/abs/1902.05523
In this paper, we empirically evaluate the utility of transfer and multi-task learning on a challenging semantic classification task: semantic interpretation of noun--noun compounds. Through a comprehensive series of experiments and in-depth error an
Externí odkaz:
http://arxiv.org/abs/1809.06748
Autor:
Lucassen, Juriaan, Kloodt-Twesten, Fabian, Frömter, Robert, Oepen, Hans Peter, Duine, Rembert A., Swagten, Henk J. M., Koopmans, Bert, Lavrijsen, Reinoud
We show that scanning electron microscopy with polarization analysis (SEMPA) that is sensitive to both in-plane magnetization components can be used to image the out-of-plane magnetized multi-domain state in multilayered chiral spin textures. By depo
Externí odkaz:
http://arxiv.org/abs/1708.00387