All About NLP (AAN)
Introduction
AAN encompases our corpus of resources on NLP and related fields and the research projects which build upon this corpus. We have collected around 6,500 surveys, tutorials and other resources and created a search engine which allows users to easily browse these resources. Our search engine also provides access to the ACL Anthology Network corpus. We recently introduced the corpus in our ACL paper TutorialBank: Using a Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation(https://arxiv.org/abs/1805.04617) and in this blog post. We annotated for the tasks of pedagogical function classification, prerequisite chains and survey extraction and are researching further into each one of these tasks.
Links
- Search engine
- Download TutorialBank!
- Blog post on TutorialBank
- Yale SciSumm Dataset
- CL-SciSumm Shared Task
Papers
- Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model by Alexander Fabbri, Irene Li, Tianwei She, Suyi Li and Dragomir Radev
- ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks by Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander Fabbri, Irene Li, Dan Friedman, and Dragomir Radev
- What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning by Irene Li, Alexander Fabbri, Robert Tung, and Dragomir Radev
- ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks by Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander Fabbri, Irene Li, Dan Friedman, and Dragomir Radev
- Overview and Results of CL-SciSumm Shared Task 2019 by Muthu Kumar Chandrasekaran, Michihiro Yasunaga, Dragomir Radev, Dayne Freitag and Min-Yen Kan
- TutorialBank: Using a Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation by Alexander Fabbri, Irene Li, Prawat Trairatvorakul, Yijiao He, Weitai Ting, Robert Tung, Caitlin Westerfield and Dragomir Radev
For a full list of previous papers leading up to TutorialBank as well as other contributors, please see this page.