![NLP Highlights artwork](https://is1-ssl.mzstatic.com/image/thumb/Podcasts127/v4/a8/49/90/a849903a-65af-d8fc-07a7-c0d1bbf826a6/mza_4767231250788281707.jpg/100x100bb.jpg)
49 - A Joint Sequential and Relational Model for Frame-Semantic Parsing, with Bishan Yang
NLP Highlights
English - February 05, 2018 19:01 - 26 minutes - 24.3 MB - ★★★★★ - 22 ratingsScience Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
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