E-LIB Suche - Ergebnisse für: Dahlmeier, Daniel

1

Große Sprachmodelle

Grundlagen, Potenziale und Herausforderungen für die Forsc... Whitepaper / Lernende Systeme - die Plattform für Künstliche Intelligenz

Löser, Alexander ; Hoffart, Johannes ; Aken, Betty van... - Stand: Mai 2023 . , [2023]

Link: https://edocs.tib.eu/fil..

2

Deep Dive Text Analytics and Natural Language Understanding:

, In: European Language Equality; Cognitive Technologies,

Gómez-Pérez, Jose Manuel ; García-Silva, Andrés ; Berrio, Cristian... - p. 313-336 , 2023

Link: https://doi.org/10.1007/..

3

Memory networks for fine-grained opinion mining:

Wang, Wenya ; Pan, Sinno Jialin ; Dahlmeier, Daniel
Artificial Intelligence. 265 (2018) - p. 1-17 , 2018

Link: https://doi.org/10.1016/..

4

From character to document representation with global conte..:

, In: Proceedings of the 3rd International Conference on Communication and Information Processing,

Wu, Zhenzhou ; Zheng, Xin ; Dahlmeier, Daniel - p. 170-174 , 2017

Link: https://dl.acm.org/doi/1..

5

DEPART: Dynamic Route Planning in Stochastic Time-Dependent..:

, In: 2015 IEEE 18th International Conference on Intelligent Transportation Systems,

Ni, Peng ; Vo, Hoang Tam ; Dahlmeier, Daniel... - p. 1672-1677 , 2015

Link: https://doi.org/10.1109/..

6

Domain adaptation for semantic role labeling in the biomedi..:

Dahlmeier, Daniel ; Ng, Hwee Tou
Bioinformatics. 26 (2010) 8 - p. 1098-1104 , 2010

Link: https://doi.org/10.1093/..

7

On the practical importance of communication complexity for..:

, In: Proceedings of the 2009 ACM symposium on Applied Computing,

Kerschbaum, Florian ; Dahlmeier, Daniel ; Schröpfer, Axel. - p. 2008-2015 , 2009

Link: https://dl.acm.org/doi/1..

8

An Interactive Multi-Task Learning Network for End-to-End A..:

He, Ruidan ; Lee, Wee Sun ; Ng, Hwee Tou.
http://arxiv.org/abs/1906.06906. , 2019

Link: http://arxiv.org/abs/190..

9

Adaptive Semi-supervised Learning for Cross-domain Sentimen..:

He, Ruidan ; Lee, Wee Sun ; Ng, Hwee Tou.
http://arxiv.org/abs/1809.00530. , 2018

Link: http://arxiv.org/abs/180..

10

Exploiting Document Knowledge for Aspect-level Sentiment Cl..:

He, Ruidan ; Lee, Wee Sun ; Ng, Hwee Tou.
http://arxiv.org/abs/1806.04346. , 2018

Link: http://arxiv.org/abs/180..

11

Character-Based Text Classification using Top Down Semantic..:

Wu, Zhenzhou ; Zheng, Xin ; Dahlmeier, Daniel
http://arxiv.org/abs/1705.10586. , 2017

Link: http://arxiv.org/abs/170..

12

Multi-task memory networks for category-specific aspect and..:

Wang, Wenya ; Pan, Sinno Jialin ; Dahlmeier, Daniel
http://arxiv.org/abs/1702.01776. , 2017

Link: http://arxiv.org/abs/170..

13

Power-saving transportation mode identification for large-s..:

Zhou, Yuren ; Wang, Jin ; Shi, Peng...
http://arxiv.org/abs/1701.05768. , 2017

Link: http://arxiv.org/abs/170..

14

Recursive Neural Conditional Random Fields for Aspect-based..:

Wang, Wenya ; Pan, Sinno Jialin ; Dahlmeier, Daniel.
http://arxiv.org/abs/1603.06679. , 2016

Link: http://arxiv.org/abs/160..

15

DEPART: Dynamic Route Planning in Stochastic Time-Dependent..:

Ni, Peng ; Vo, Hoang Tam ; Dahlmeier, Daniel...
https://mediatum.ub.tum.de/1280469. , 2015

Link: https://mediatum.ub.tum...