LILY Lab
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LILY Lab

aan.how: AAN New Version Release

We are pleased to announce that Yale University’s Language, Information, and Learning at Yale (LILY) Group is releasing a new version of AAN (All About NLP), a search engine that allows anyone to easily browse through our corpus of resources on Natural Language Processing (NLP) and related fields. This search engine has been developed in order to assist students and researchers advance in the rapidly-growing, and as a result, sometimes daunting field of NLP. We currently have over 20,000 resources in our corpus which includes updated versions of TutorialBank (blog post here), our manually annotated dataset of surveys and tutorials, and LectureBank (blog post here), a dataset consisting of university lecture slides on 322 NLP-related topics. These downloadable datasets have been created for the growing NLP community with the hopes that they will contribute to advancing research related to NLP for educational applications.

AAN is a great search engine for NLP-related study materials

Using AAN is as easy as typing in a key word or phrase that you want to learn more about and hitting enter.

Here, we have searched for the topic of “Neural networks”

Or alternatively, you can browse some of our predefined topics to find just what you are looking for.

Here, we are browsing our pre-defined topic of “Language Modeling, Syntax, Parsing”

We hope this tool will be of use to fellow students and researchers with an interest in NLP!

Thank you to the following for their work with this new version of the website: Irene Li, Thomas George, Alexander Fabbri, Swapnil Hingmire, Vanessa Yan, Tammy Liao, Benjamin Chen, Richard Zhou, and Rina Kawamura

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Language, Information, and Learning at Yale Lab

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Rina Kawamura

Rina Kawamura

CS Undergraduate Student at Yale University

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