Closing the Loop: Generating Disambiguating Paraphrases for Crowd-Sourced Annotation of Structurally Ambiguous Sentences
Description
This project investigates methods of using natural language generation to automatically produce disambiguating paraphrases of structurally ambiguous sentences in order to enable crowd-sourcing of data for parser training and domain adaptation.
Tags
natural language processing
paraphrasing
crowd sourcing

Team Members

YS

Yumi Sakai

bird, animals, human, birds, birds

JJ

Jack Jack

ai, machine learning, web development, code