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LectureBank: A Collection of Lecture Notes and Topics

Our LectureBank dataset contains 1,352 English lecture files collected from university courses in mainly Natural Language Processing (NLP) field. Besides, each file is manually classified according to an existing taxonomy. Together with the dataset, we include 305 manually-labeled prerequisite relation topics. Check our most recent paper "R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning" by Irene Li, Alexander Fabbri, Swapnil Hingmire, Dragomir Radev.

TutorialBank: Learning NLP Made Easier

NLP is rapidly growing, and, as a result, advancing in the field can seem daunting to the student or the researcher. To help the growing NLP community and advance research related to NLP for educational applications, we introduced a new corpus in our ACL 2018 paper "TutorialBank: Using a Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation" (see GitHub) by Alexander Fabbri, Irene Li, Prawat Trairatvorakul, Yijiao He, Wei Tai Ting, Robert Tung, Caitlin Westerfield and Dragomir Radev.

Updates

May 11, 2018

The paper "TutorialBank: Using a Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation" by the LILY group at Yale - Computer Science will be published in ACL 2018!

Dec. 1, 2016

After several years of dormancy, AAN updates are back with the 2014 release.

Statistics

Number of resources 16616
Number of venues 374
Number of papers 24622
Number of authors 18904
Number of citations 124884