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

, , and . L@S, page 303-306. ACM, (2017)

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Normalized Log-Linear Interpolation of Backoff Language Models is Efficient., , , and . ACL (1), The Association for Computer Linguistics, (2016)MeTA: A Unified Toolkit for Text Retrieval and Analysis., , and . ACL (System Demonstrations), page 91-96. Association for Computational Linguistics, (2016)Automatic Assessment of Complex Assignments using Topic Models., , , , and . L@S, page 13:1-13:10. ACM, (2019)The Size Conundrum: Why Online Knowledge Markets Can Fail at Scale., , , , and . WWW, page 65-75. ACM, (2018)A Generative Model for Discovering Action-Based Roles and Community Role Compositions on Community Question Answering Platforms., , , and . ICWSM, page 181-192. AAAI Press, (2019)Scaling up Online Question Answering via Similar Question Retrieval., and . L@S, page 257-260. ACM, (2016)Size Does Matter: Why Knowledge Markets Can Fail at Scale!, , , , and . CoRR, (2017)A Tutorial on Probabilistic Topic Models for Text Data Retrieval and Analysis., and . SIGIR, page 1395-1398. ACM, (2018)An Exploration of Automated Grading of Complex Assignments., , and . L@S, page 351-360. ACM, (2016)Mining MOOC Lecture Transcripts to Construct Concept Dependency Graphs., , , , and . EDM, International Educational Data Mining Society (IEDMS), (2018)