Word sense disambiguation based on word similarity calculation using word vector representation from a knowledge-based graph
Word sense disambiguation (WSD) is the task to determine the word sense according to its
context. Many existing WSD studies have been using an external knowledge-based …
context. Many existing WSD studies have been using an external knowledge-based …
[PDF][PDF] Supervised word sense disambiguation with frame-based constructional features: A pilot study of fán 煩“to annoy/be annoying/be annoyed”
M Wan, M Liu - International Journal of Knowledge and Language …, 2018 - researchgate.net
Studies of Word Sense Disambiguation have made extensive use of unstructured contextual
features for disambiguating polysemous words, while this paper aims to testify the validity of …
features for disambiguating polysemous words, while this paper aims to testify the validity of …
Unsupervised detection of metaphorical adjective-noun pairs
M Pramanick, P Mitra - Proceedings of the Workshop on Figurative …, 2018 - aclanthology.org
Metaphor is a popular figure of speech. Popularity of metaphors calls for their automatic
identification and interpretation. Most of the unsupervised methods directed at detection of …
identification and interpretation. Most of the unsupervised methods directed at detection of …
[PDF][PDF] Ambiguity in question paper translation
S Vikram, SK Dwivedi - … Journal of Modern Education and Computer …, 2018 - mecs-press.net
Word sense ambiguity is a prevalent nature of machine translation for various language
pairs including English-Hindi language. For example, the word" paper" has several senses …
pairs including English-Hindi language. For example, the word" paper" has several senses …