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Chase Geigle
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2010 – 2019
- 2019
- [c15]Chase Geigle, Himel Dev, Hari Sundaram, ChengXiang Zhai:
A Generative Model for Discovering Action-Based Roles and Community Role Compositions on Community Question Answering Platforms. ICWSM 2019: 181-192 - [c14]Saar Kuzi, William W. Cope, Duncan C. Ferguson, Chase Geigle, ChengXiang Zhai:
Automatic Assessment of Complex Assignments using Topic Models. L@S 2019: 13:1-13:10 - 2018
- [b1]Chase Geigle:
Towards high quality, scalable education: Techniques in automated assessment and probabilistic user behavior modeling. University of Illinois Urbana-Champaign, USA, 2018 - [j1]Shubhra Kanti Karmaker Santu, Chase Geigle, Duncan C. Ferguson, William W. Cope, Mary Kalantzis, Duane Searsmith, Chengxiang Zhai:
SOFSAT: Towards a Setlike Operator based Framework for Semantic Analysis of Text. SIGKDD Explor. 20(2): 21-30 (2018) - [c13]Fareedah Alsaad, Assma Boughoula, Chase Geigle, Hari Sundaram, Chengxiang Zhai:
Mining MOOC Lecture Transcripts to Construct Concept Dependency Graphs. EDM 2018 - [c12]Chase Geigle, Ismini Lourentzou, Hari Sundaram, ChengXiang Zhai:
CLaDS: a cloud-based virtual lab for the delivery of scalable hands-on assignments for practical data science education. ITiCSE 2018: 176-181 - [c11]ChengXiang Zhai, Chase Geigle:
A Tutorial on Probabilistic Topic Models for Text Data Retrieval and Analysis. SIGIR 2018: 1395-1398 - [c10]Himel Dev, Chase Geigle, Qingtao Hu, Jiahui Zheng, Hari Sundaram:
The Size Conundrum: Why Online Knowledge Markets Can Fail at Scale. WWW 2018: 65-75 - 2017
- [c9]Chase Geigle, Chengxiang Zhai:
Modeling MOOC Student Behavior With Two-Layer Hidden Markov Models. EDM 2017 - [c8]Chase Geigle, ChengXiang Zhai:
Modeling MOOC Student Behavior With Two-Layer Hidden Markov Models. L@S 2017: 205-208 - [c7]Assma Boughoula, Chase Geigle, ChengXiang Zhai:
A Probabilistic Approach for Discovering Difficult Course Topics Using Clickstream Data. L@S 2017: 303-306 - [i1]Himel Dev, Chase Geigle, Qingtao Hu, Jiahui Zheng, Hari Sundaram:
Size Does Matter: Why Knowledge Markets Can Fail at Scale! CoRR abs/1712.00139 (2017) - 2016
- [c6]Kenneth Heafield, Chase Geigle, Sean Massung, Lane Schwartz:
Normalized Log-Linear Interpolation of Backoff Language Models is Efficient. ACL (1) 2016 - [c5]Sean Massung, Chase Geigle, ChengXiang Zhai:
MeTA: A Unified Toolkit for Text Retrieval and Analysis. ACL (System Demonstrations) 2016: 91-96 - [c4]Chase Geigle, ChengXiang Zhai:
Scaling up Online Question Answering via Similar Question Retrieval. L@S 2016: 257-260 - [c3]Chase Geigle, ChengXiang Zhai, Duncan C. Ferguson:
An Exploration of Automated Grading of Complex Assignments. L@S 2016: 351-360 - 2015
- [c2]Lane Schwartz, Bill Bryce, Chase Geigle, Sean Massung, Yisi Liu, Haoruo Peng, Vignesh Raja, Subhro Roy, Shyam Upadhyay:
The University of Illinois submission to the WMT 2015 Shared Translation Task. WMT@EMNLP 2015: 192-198 - 2013
- [c1]Swarup Kumar Sahoo, John Criswell, Chase Geigle, Vikram S. Adve:
Using likely invariants for automated software fault localization. ASPLOS 2013: 139-152
Coauthor Index
aka: Chengxiang Zhai
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