Objects: words in text
Attributes: sense, gender, number, pos, …
Grammatical relations (subject-object, modifier,…)
Close semantic relations (is-a, cause-of, …)
Same word in different sentences (one-sense-per-discourse)
Learned from tagged data
Based on prior knowledge (e.g., WordNet, FrameNet)
Her advisor gave her feedback about the draft.
Can we infer grammatical structure
and disambiguate word senses
simultaneously rather than sequentially?
Can we integrate inter-word relationships
directly into our probabilistic model?