Use word embeddings for English and LRL

[janetzki]

Goal

We compute word embeddings for English words, fra/tpi/meu words, and semantic domains (by averaging the English words) to link the fra/tpi/meu words to the semantic domains. (This issue is not part of the proposal. --> optional) Motivation: less FP, less FN --> more precision and recall --> F1 > 0.30

Tasks

• [x] clarify the goal
• [ ] Does the aligner (e.g., a fine-tuned AWESoME model) already use word embeddings?
• [ ] clarify how this is different from node embeddings if words are nodes
• [ ] look at Neural Cross-Lingual NER with Minimal Resources
  • [ ] try out MUSE
• [ ] get word embeddings for English words (e.g., word2vec/Glove)
• [ ] compute word embeddings for semantic domains
• [ ] compute word embeddings for fra/LRL words
• [ ] link fra/tpi/meu words to semantic domains
• [ ] evaluate created dictionaries

[janetzki]

Closed because completion on time is not realistic.