Modularized Active Learning Solution for Labelling Text Data for Business Environment Analysis
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
In: Agacayaklar, F.; Lange, A.; Scholz, J.-A.; Knothe, T.; Busse, D.: Modularized Active Learning Solution for Labelling Text Data for Business Environment Analysis. In: Herberger, D.; Hübner, M. (Eds.): Proceedings of the Conference on Production Systems and Logistics: CPSL 2022. Hannover : publish-Ing., 2022, S. 765-774. DOI: https://doi.org/10.15488/12190
- Event
-
Veröffentlichung
- (where)
-
Hannover
- (who)
-
Gottfried Wilhelm Leibniz Universität Hannover
- (when)
-
2022
- Event
-
Veröffentlichung
- (where)
-
Hannover
- (who)
-
Technische Informationsbibliothek (TIB)
- (when)
-
2022
- Creator
- DOI
-
10.15488/12190
- URN
-
urn:nbn:de:101:1-2022072102195961705078
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:22 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Agacayaklar, Furkan
- Lange, Annika
- Scholz, Julia-Anne
- Knothe, Thomas
- Busse, Dirk
- Gottfried Wilhelm Leibniz Universität Hannover
- Technische Informationsbibliothek (TIB)
Time of origin
- 2022
Other Objects (12)
Labelling Policies for Food
Trustability-based dynamic active learning for crowdsourced labelling of emotional audio data
Hard constraints for grammatical function labelling
Delayed labelling evaluation for data streams
Hard constraints for grammatical function labelling
Multi-level labelling: Too complex for consumers?
Evaluating LSTM models for grammatical function labelling
Evaluating LSTM models for grammatical function labelling
Active Use of the Natural Environment for Emotion Regulation
15N-Labelling and structure determination of adamantylated azolo-azines in solution
CSLabel: An Approach for Labelling Mobile App Reviews
Dual-fluorescence pH probe for bio-labelling
Labelling Policies for Food
Trustability-based dynamic active learning for crowdsourced labelling of emotional audio data
Hard constraints for grammatical function labelling
Delayed labelling evaluation for data streams
Hard constraints for grammatical function labelling
Multi-level labelling: Too complex for consumers?
Evaluating LSTM models for grammatical function labelling
Evaluating LSTM models for grammatical function labelling
Active Use of the Natural Environment for Emotion Regulation
15N-Labelling and structure determination of adamantylated azolo-azines in solution
CSLabel: An Approach for Labelling Mobile App Reviews
Dual-fluorescence pH probe for bio-labelling
Labelling Policies for Food
Trustability-based dynamic active learning for crowdsourced labelling of emotional audio data
Hard constraints for grammatical function labelling
Delayed labelling evaluation for data streams
Hard constraints for grammatical function labelling
Multi-level labelling: Too complex for consumers?
Evaluating LSTM models for grammatical function labelling
Evaluating LSTM models for grammatical function labelling
Active Use of the Natural Environment for Emotion Regulation
15N-Labelling and structure determination of adamantylated azolo-azines in solution
CSLabel: An Approach for Labelling Mobile App Reviews