KARaML: Integrating Knowledge-Based and Machine Learning Approaches to Solve the Winograd Schema Challenge
Aus International Center for Computational Logic
KARaML: Integrating Knowledge-Based and Machine Learning Approaches to Solve the Winograd Schema Challenge
Suk Joon HongSuk Joon Hong, Brandon BennettBrandon Bennett, Judith ClymoJudith Clymo, Lucía Gómez ÁlvarezLucía Gómez Álvarez

Suk Joon Hong, Brandon Bennett, Judith Clymo, Lucía Gómez Álvarez
KARaML: Integrating Knowledge-Based and Machine Learning Approaches to Solve the Winograd Schema Challenge
Machine Learning and Knowledge Engineering for Hybrid Intelligence, AAAI Spring Symposium, to appear. AAAI Press
KARaML: Integrating Knowledge-Based and Machine Learning Approaches to Solve the Winograd Schema Challenge
Machine Learning and Knowledge Engineering for Hybrid Intelligence, AAAI Spring Symposium, to appear. AAAI Press
- Forschungsgruppe:Research Group: Computational LogicComputational Logic
@inproceedings{HBC{2022,
author = {Suk Joon Hong and Brandon Bennett and Judith Clymo and
Luc{\'{\i}}a G{\'{o}}mez {\'{A}}lvarez},
title = {KARaML: Integrating Knowledge-Based and Machine Learning
Approaches to Solve the Winograd Schema Challenge},
booktitle = {Machine Learning and Knowledge Engineering for Hybrid
Intelligence},
publisher = {AAAI Press},
year = {2022},
pages = {AAAI Spring Symposium}
}