Results 261 to 270 of about 58,551 (288)
Some of the next articles are maybe not open access.
Word Sense Disambiguation Using IndoWordNet
2016Word sense disambiguation (WSD) is considered as one of the toughest problems in the field of natural language processing. IndoWordNet is a linked structure of WordNets of major Indian languages. Recently, several IndoWordNet-based WSD approaches have been proposed and implemented for Indian languages.
Sudha Bhingardive, Pushpak Bhattacharyya
openaire +1 more source
Graph Based Word Sense Disambiguation
2016Word-sense disambiguation is an open challenge in natural language processing. It is the process of identifying the actual meaning of the word based on the senses of the surrounding words of the context in which it is used. Knowledge-based approaches are becoming most popular than other approaches for word-sense disambiguation.
Neeraja Koppula +2 more
openaire +1 more source
Practice of Word Sense Disambiguation
2018The paper aims at the community of researchers and practitioners that work in the area of natural language processing but do not specialize in the word sense disambiguation (WSD). It contains a brief introduction into WSD and describes the classical approaches to solve the problem.
openaire +1 more source
Unsupervised word embeddings capture latent knowledge from materials science literature
Nature, 2019Vahe Tshitoyan +2 more
exaly
Enriching Word Vectors with Subword Information
Transactions of the Association for Computational Linguistics, 2017Tomas Mikolov
exaly
Electronic word-of-mouth in hospitality and tourism management
Tourism Management, 2008Stephen W Litvin +2 more
exaly