Search: onr:"swepub:oai:gup.ub.gu.se/256642" >
Parameter Transfer ...
Parameter Transfer across Domains for Word Sense Disambiguation
-
Abualhajia, Sallam (author)
-
- Tahmasebi, Nina, 1982 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för svenska språket,Department of Swedish
-
Forin, Diane (author)
-
show more...
-
Zimmermann, Karl-Heinz (author)
-
show less...
-
(creator_code:org_t)
- 2017-11-25
- 2017
- English.
-
In: Proceedings of Recent Advances in Natural Language Processing Meet Deep Learning, Varna, Bulgaria 2–8 September 2017 / Edited by Galia Angelova, Kalina Bontcheva, Ruslan Mitkov, Ivelina Nikolova, Irina Temnikova. - : Incoma Ltd. Shoumen, Bulgaria. - 1313-8502 .- 2603-2813. - 9789544520489
- Related links:
-
https://doi.org/10.2...
-
show more...
-
https://gup.ub.gu.se...
-
https://doi.org/10.2...
-
show less...
Abstract
Subject headings
Close
- Word sense disambiguation is defined as finding the corresponding sense for a target word in a given context, which comprises a major step in text applications. Recently, it has been addressed as an optimization problem. The idea behind is to find a sequence of senses that corresponds to the words in a given context with a maximum semantic similarity. Metaheuristics like simulated annealing and D-Bees provide approximate good-enough solutions, but are usually influenced by the starting parameters. In this paper, we study the parameter tuning for both algorithms within the word sense disambiguation problem. The experiments are conducted on different datasets to cover different disambiguation scenarios. We show that D-Bees is robust and less sensitive towards the initial parameters compared to simulated annealing, hence, it is sufficient to tune the parameters once and reuse them for different datasets, domains or languages.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Språkteknologi (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Language Technology (hsv//eng)
Publication and Content Type
- ref (subject category)
- kon (subject category)
Find in a library
To the university's database