PinnedInBecoming Human: Artificial Intelligence MagazinebyJerry Wei·Sep 11, 2022Finding Your Pokemon’s Perfect Prom Outfit Using DALL-EThe trendiest fashion styles are just in! And they’re just one click away with the help of the latest DALL-E deep learning model!A response icon1A response icon1
InTDS ArchivebyJerry Wei·Nov 24, 2020The Clinical Applications of NLP: Workshop at EMNLP 2020An overview of three recent papers on applying NLP to clinical settings.A response icon1A response icon1
InTDS ArchivebyJerry Wei·Nov 20, 2020Truth-Seeking in the Post-Truth Era: Tutorial at EMNLP 2020In the post-truth era, how can we use NLP to tackle fact-checking and fake news?
InTDS ArchivebyJerry Wei·Nov 17, 2020Applying Curriculum Learning to Medical ImagesA quick explanation of using curriculum learning for medical image analysis.A response icon1A response icon1
InTDS ArchivebyJerry Wei·Nov 1, 2020NLP in the Real World: Google DuplexWith all the recent advances in NLP, it’s refreshing to see new developments in real-world applications of the field.
InTDS ArchivebyJerry Wei·Oct 27, 2020An Overview of SemEval-2017 Task 3: Community Question AnsweringSemEval-2017’s Task 3 consists of five question-answering subtasks using a dataset of tens of thousands of questions and comments.
InTDS ArchivebyJerry Wei·Oct 17, 2020The Stanford Sentiment Treebank (SST): Studying sentiment analysis using NLPA quick guide to the Stanford Sentiment Treebank (SST), one of the most well-known datasets for sentiment analysis.
InTDS ArchivebyJerry Wei·Oct 16, 2020ELMo: Why it’s one of the biggest advancements in NLPEmbeddings from Language Models (ELMo) is a state-of-the-art language modeling idea. What makes it so successful?A response icon2A response icon2
InTDS ArchivebyJerry Wei·Oct 8, 2020The Quick Guide to SQuADAll the basic information you need to know about the Stanford Question Answering Dataset (SQuAD).A response icon1A response icon1
InTDS ArchivebyJerry Wei·Oct 7, 2020Using Deep Learning to… Generate Puns?A fun application of state-of-the-art methods in natural language processing that demonstrates how far the field has come.
