Igor Labutov

Researcher, Na, Epiq Global Solutions

Joined

October 2018

Names

Igor Labutov

Emails

****@cornell.edu (Confirmed)

****@gmail.com (Confirmed)

Personal Links

DBLP

Career & Education History

Researcher

Na, Epiq Global Solutions (epiqglobal.com)

2024 – Present

Advisors, Relations & Conflicts

Coauthor

Tobias Schnabel

2015 – 2015

Coauthor

David Mimno

2015 – 2015

Coauthor

Thorsten Joachims

2015 – 2015

Expertise

No areas of expertise listed

Publications

Learning to Ask for Conversational Machine Learning
Shashank Srivastava, Igor Labutov, Tom Mitchell
- 15 Oct 2021
- OpenReview Archive Direct Upload
- Readers: Everyone
Zero-shot Learning of Classifiers from Natural Language Quantification
Shashank Srivastava, Igor Labutov, Tom M. Mitchell
- 2018 (modified: 16 Jul 2019)
- ACL (1) 2018
- Readers: Everyone
Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds
Igor Labutov, Bishan Yang, Anusha Prakash, Amos Azaria
- 2018 (modified: 16 Jul 2019)
- ACL (1) 2018
- Readers: Everyone
Learning to Learn Semantic Parsers from Natural Language Supervision
Igor Labutov, Bishan Yang, Tom M. Mitchell
- 2018 (modified: 16 Jul 2019)
- EMNLP 2018
- Readers: Everyone
LIA: A Natural Language Programmable Personal Assistant
Igor Labutov, Shashank Srivastava, Tom M. Mitchell
- 2018 (modified: 16 Jul 2019)
- EMNLP (Demonstration) 2018
- Readers: Everyone
JAG: A Crowdsourcing Framework for Joint Assessment and Peer Grading
Igor Labutov, Christoph Studer
- 2017 (modified: 16 Jul 2019)
- AAAI 2017
- Readers: Everyone
Semi-Supervised Techniques for Mining Learning Outcomes and Prerequisites
Igor Labutov, Yun Huang, Peter Brusilovsky, Daqing He
- 2017 (modified: 12 Nov 2022)
- KDD 2017
- Readers: Everyone
Joint Concept Learning and Semantic Parsing from Natural Language Explanations
Shashank Srivastava, Igor Labutov, Tom M. Mitchell
- 2017 (modified: 16 Jul 2019)
- EMNLP 2017
- Readers: Everyone
Optimally Discriminative Choice Sets in Discrete Choice Models: Application to Data-Driven Test Design
Igor Labutov, Frans Schalekamp, Kelvin Luu, Hod Lipson, Christoph Studer
- 2016 (modified: 12 Nov 2022)
- KDD 2016
- Readers: Everyone
Unbounded Human Learning: Optimal Scheduling for Spaced Repetition
Siddharth Reddy, Igor Labutov, Siddhartha Banerjee, Thorsten Joachims
- 2016 (modified: 16 Jul 2019)
- KDD 2016
- Readers: Everyone

View all 15 publications

Igor Labutov

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Co-Authors