49 - A Joint Sequential and Relational Model for Frame-Semantic Parsing, with Bishan Yang

EMNLP 2017 paper by Bishan Yang and Tom Mitchell. Bishan tells us
about her experiments on frame-semantic parsing / semantic role
labeling, which is trying to recover the predicate-argument
structure from natural language sentences, as well as categorize
those structures into a pre-defined event schema (in the case of
frame-semantic parsing). Bishan had two interesting ideas here: (1)
use a technique similar to model distillation to combine two
different model structures (her "sequential" and "relational"
models), and (2) use constraints on arguments across frames in the
same sentence to get a more coherent global labeling of the
sentence. We talk about these contributions, and also touch on
"open" versus "closed" semantics, in both predicate-argument
structure and information extraction.
https://www.semanticscholar.org/paper/A-Joint-Sequential-and-Relational-Model-for-Frame-Yang-Mitchell/a1deb609e3758519cbe3f1a542bdf1ea52b6f224