Search Results for author:
Found 2 papers, 0 papers with code
Constructing High Precision Knowledge Bases with Subjective and Factual Attributes
In this work, we develop a method for constructing KBs with tunable precision--i. e., KBs that can be made to operate at a specific false positive rate, despite storing both difficult-to-evaluate subjective attributes and more traditional factual attributes.
Distantly Supervised Attribute Detection from Reviews
This work aims to detect specific attributes of a place (e. g., if it has a romantic atmosphere, or if it offers outdoor seating) from its user reviews via distant supervision: without direct annotation of the review text, we use the crowdsourced attribute labels of the place as labels of the review text.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
