Open BarbaraMcG opened 4 years ago
@kasparvonbeelen , feel free to use this template for "your" paper for tomorrow, if it's useful!
This paper is about using dictionary data to learn sense embeddings, and applying this to word sense disambiguation (WSD) and detection of sense-level semantic change.
Yes, in various respects:
It's not clear if it's OED = Oxford English Dictionary, diachronic (www.oed.com) or ODE = Oxford Dictionary of English, synchronic (https://www.lexico.com). However, from the examples they use, e.g. Table 1, and from their code page it seems they use ODE (https://www.lexico.com/definition/mean).
I've added some text in the Overleaf project, in the "Related work" section.
To be discussed in the catch-up meeting on 10/11
The paper is this one: Hu, R., Li, S., & Liang, S. (2019). Diachronic Sense Modeling with Deep Contextualized Word Embeddings: An Ecological View, 3899–3908. https://doi.org/10.18653/v1/p19-1379
See https://github.com/Living-with-machines/HistoricalDictionaryExpansion/issues/6 for full list of papers .