Living-with-machines / TargetedSenseDisambiguation

Repository for the work on Targeted Sense Disambiguation
MIT License
1 stars 0 forks source link

prepare Hu et al 2019 for reading group (10/11) #35

Open BarbaraMcG opened 4 years ago

BarbaraMcG commented 4 years ago

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 .

BarbaraMcG commented 4 years ago

@kasparvonbeelen , feel free to use this template for "your" paper for tomorrow, if it's useful!

BarbaraMcG commented 4 years ago

1. What is this paper about?

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.

2. Is it relevant to our project? If so, why and how?

Yes, in various respects:

Questions

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).

Possible challenges:

3. What could we use from this work in our project?

4. Add some text about it to Overleaf

I've added some text in the Overleaf project, in the "Related work" section.

5. Plan experiments (if relevant)

To be discussed in the catch-up meeting on 10/11