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Klenner, Manfred; Göhring, Anne; Amsler, Michael (2020). Harmonization Sometimes Harms. In: Proceedings of the 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS), Winterthur, 23 June 2020 - 25 June 2020, swisstext-and-konvens-2020.
In this paper we argue that harmonization is not the preferred way to produce a gold standard in all cases. Neither does a majority vote based harmonization produce an appropriate gold standard centroid, nor would a mere centroid be a good basis for training a system that reproduces prototypical user reactions given some understanding task. We discuss these claims in the context of sentiment inference.
| Item Type: | Conference or Workshop Item (Paper), refereed, original work |
|---|---|
| Communities & Collections: | 06 Faculty of Arts > Institute of Computational Linguistics |
| Dewey Decimal Classification: | 000 Computer science, knowledge & systems
410 Linguistics |
| Scopus Subject Areas: | Physical Sciences > General Computer Science |
| Language: | English |
| Event End Date: | 25 June 2020 |
| Deposited On: | 27 Jan 2021 14:49 |
| Last Modified: | 21 Jun 2022 07:14 |
| Publisher: | swisstext-and-konvens-2020 |
| OA Status: | Green |
| Free access at: | Official URL. An embargo period may apply. |
| Official URL: | http://swisstext-and-konvens-2020.org |
Klenner, Manfred