PinnedPublished inBecoming Human: Artificial Intelligence MagazineFinding 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!Sep 11, 20221Sep 11, 20221
Published inTowards Data ScienceThe Clinical Applications of NLP: Workshop at EMNLP 2020An overview of three recent papers on applying NLP to clinical settings.Nov 24, 2020Nov 24, 2020
Published inTowards Data ScienceTruth-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?Nov 20, 2020Nov 20, 2020
Published inTowards Data ScienceApplying Curriculum Learning to Medical ImagesA quick explanation of using curriculum learning for medical image analysis.Nov 17, 20201Nov 17, 20201
Published inTowards Data ScienceNLP 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.Nov 1, 2020Nov 1, 2020
Published inTowards Data ScienceAn 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.Oct 27, 2020Oct 27, 2020
Published inTowards Data ScienceThe 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.Oct 17, 2020Oct 17, 2020
Published inTowards Data ScienceELMo: 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?Oct 16, 20202Oct 16, 20202
Published inTowards Data ScienceThe Quick Guide to SQuADAll the basic information you need to know about the Stanford Question Answering Dataset (SQuAD).Oct 8, 20201Oct 8, 20201
Published inTowards Data ScienceUsing 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.Oct 7, 2020Oct 7, 2020