Frame-semantic Parsing With Softmax-margin Segmental Rnns And A Syntactic Scaffold | Awesome LLM Papers Add your paper to Awesome LLM Papers

Awesome LLM Papers

A collection of research papers on LLMs.

Stay Updated

Contact Sean Moran about this survey or website. Made with Jekyll and Hyde.

Frame-semantic Parsing With Softmax-margin Segmental Rnns And A Syntactic Scaffold

Swabha Swayamdipta, Sam Thomson, Chris Dyer, Noah A. Smith . Arxiv 2017 – 98 citations

[Paper]   Search on Google Scholar   Search on Semantic Scholar
Training Techniques

We present a new, efficient frame-semantic parser that labels semantic arguments to FrameNet predicates. Built using an extension to the segmental RNN that emphasizes recall, our basic system achieves competitive performance without any calls to a syntactic parser. We then introduce a method that uses phrase-syntactic annotations from the Penn Treebank during training only, through a multitask objective; no parsing is required at training or test time. This “syntactic scaffold” offers a cheaper alternative to traditional syntactic pipelining, and achieves state-of-the-art performance.

Similar Work