Chase Geigle

According to our database, Chase Geigle authored at least 17 papers between 2013 and 2019.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2019

Automatic Assessment of Complex Assignments using Topic Models.

Saar Kuzi, William W. Cope, Duncan C. Ferguson, Chase Geigle, ChengXiang Zhai

Proceedings of the Sixth ACM Conference on Learning @ Scale, 2019

A Generative Model for Discovering Action-Based Roles and Community Role Compositions on Community Question Answering Platforms.

Chase Geigle, Himel Dev, Hari Sundaram, ChengXiang Zhai

Proceedings of the Thirteenth International Conference on Web and Social Media, 2019

2018

Towards high quality, scalable education: Techniques in automated assessment and probabilistic user behavior modeling

Chase Geigle

PhD thesis, 2018

SOFSAT: Towards a Setlike Operator based Framework for Semantic Analysis of Text.

Shubhra Kanti Karmaker Santu, Chase Geigle, Duncan C. Ferguson, William W. Cope, Mary Kalantzis, Duane Searsmith, Chengxiang Zhai

SIGKDD Explor., 2018

The Size Conundrum: Why Online Knowledge Markets Can Fail at Scale.

Himel Dev, Chase Geigle, Qingtao Hu, Jiahui Zheng, Hari Sundaram

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

A Tutorial on Probabilistic Topic Models for Text Data Retrieval and Analysis.

ChengXiang Zhai, Chase Geigle

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

CLaDS: a cloud-based virtual lab for the delivery of scalable hands-on assignments for practical data science education.

Chase Geigle, Ismini Lourentzou, Hari Sundaram, ChengXiang Zhai

Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education, 2018

Mining MOOC Lecture Transcripts to Construct Concept Dependency Graphs.

Fareedah Alsaad, Assma Boughoula, Chase Geigle, Hari Sundaram, Chengxiang Zhai

Proceedings of the 11th International Conference on Educational Data Mining, 2018

2017

Size Does Matter: Why Knowledge Markets Can Fail at Scale!

Himel Dev, Chase Geigle, Qingtao Hu, Jiahui Zheng, Hari Sundaram

CoRR, 2017

Modeling MOOC Student Behavior With Two-Layer Hidden Markov Models.

Chase Geigle, ChengXiang Zhai

Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

A Probabilistic Approach for Discovering Difficult Course Topics Using Clickstream Data.

Assma Boughoula, Chase Geigle, ChengXiang Zhai

Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

2016

An Exploration of Automated Grading of Complex Assignments.

Chase Geigle, ChengXiang Zhai, Duncan C. Ferguson

Proceedings of the Third ACM Conference on Learning @ Scale, 2016

Scaling up Online Question Answering via Similar Question Retrieval.

Chase Geigle, ChengXiang Zhai

Proceedings of the Third ACM Conference on Learning @ Scale, 2016

MeTA: A Unified Toolkit for Text Retrieval and Analysis.

Sean Massung, Chase Geigle, ChengXiang Zhai

Proceedings of ACL-2016 System Demonstrations, Berlin, Germany, August 7-12, 2016, 2016

Normalized Log-Linear Interpolation of Backoff Language Models is Efficient.

Kenneth Heafield, Chase Geigle, Sean Massung, Lane Schwartz

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

The University of Illinois submission to the WMT 2015 Shared Translation Task.

Lane Schwartz, Bill Bryce, Chase Geigle, Sean Massung, Yisi Liu, Haoruo Peng, Vignesh Raja, Subhro Roy, Shyam Upadhyay

Proceedings of the Tenth Workshop on Statistical Machine Translation, 2015

2013

Using likely invariants for automated software fault localization.

Swarup Kumar Sahoo, John Criswell, Chase Geigle, Vikram S. Adve

Proceedings of the Architectural Support for Programming Languages and Operating Systems, 2013