1. Home
  2. Material Detail: High-coverage extraction of semantic assertions from text

Material Detail

High-coverage extraction of semantic assertions from text

High-coverage extraction of semantic assertions from text

This video was recorded at Slovenian KDD Conference on Data Mining and Data Warehouses (SiKDD), Ljubljana 2011. We present an early version of a method for open-domain semantic assertion extraction from natural language texts. To combat the shortage of training data for the task, a two-stage pipeline is employed: we first perform semantic role labeling, then map the resulting frames onto predicate-form, ontology-aligned statements. We chose FrameNet and Cyc as the frame database and the ontology, respectively.
Keywords:
videolectures, ocwc, oec
Disciplines:
Go to Material 
Bookmark / Add to Course ePortfolio
Create a Learning Exercise
Add Accessibility Information
Rate
Add a Comment

Quality

  • User Rating
  • Comments
  • Learning Exercises
  • Bookmark Collections
  • Course ePortfolios
  • Accessibility Info

More about this material

Material Type:
Presentation
Date Added to MERLOT:
February 10, 2015
Date Modified in MERLOT:
February 10, 2015
Author:
Submitter:
The Open Education Consortium
Primary Audience:
College General Ed, College Lower Division, College Upper Division
Technical Format:
Video
Mobile Compatibility:
Not specified at this time
Language:
English
Cost Involved:
No
Source Code Available:
No
Creative Commons:
Creative Commons License
This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States

Browse...

Disciplines with similar materials as High-coverage extraction of semantic assertions from text
People who viewed this also viewed
Other materials like High-coverage extraction of semantic assertions from text

Comments

Log in to participate in the discussions or sign up if you are not already a MERLOT member.