Word sense disambiguation: a survey
By Alok Ranjan Pal, Diganta Saha. 2015
25 citations recorded by the source corpus.
In this paper, we made a survey on Word Sense Disambiguation (WSD). Near about in all major languages around the world, research in WSD has been conducted upto different extents. In this paper, we have gone through a survey regarding the different approaches adopted in different research works, the State of the Art in the performance in this domain, recent works in different Indian languages and finally a survey in Bengali language. We have made a survey on different competitions in this field and the bench mark results, obtained from those competitions.
Subfields: Artificial Intelligence, Natural Language Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Natural Language Processing
- Li Fei-Fei
- Justin Johnson
- Yuke Zhu
- Ranjay Krishna
- Li-Jia Li
- Michael S. Bernstein
- Yannis Kalantidis
- Kenji Hata
Citations in the corpus
- Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations (2016, methodology): “By “canonicalization,” we refer to word sense disambiguation (WSD) by mapping the components in our dataset to their respective synsets in the WordNet ontology (Miller, 1995).”