GRAMMARLY MEME SKIN
Apply simple rule-base racism detection using meme text, race tag, entity tag, skin tone.
Train the following models: extended VL-BERT, UNITER-ITM / VILLA-ITM, vanilla ERNIE-Vil. Those tags will give the transformer models much more diverse information to work with. Using the clean meme image to do bottom-up-attention feature extraction, web entity detection, human race detection. This will improve the quality of both object detection and web entity detection. Winning Submissions Placeįirst using OCR and inpaint model to find and remove the text from the image.
GRAMMARLY MEME CODE
Winning code for other DrivenData competitions is available in the competition-winners repository. If you notice a problem with the link, please open an issue in this repository to let us know! This repository contains links to the code from winning competitors in the Hateful Memes: Phase 2 DrivenData challenge. As such, the dataset labels do not in any way reflect Facebook’s official stance on this matter. Misclassifications, although possible, should be very rare in the dev and seen test set, however, and we will take extra care with the unseen test set.Īs a reminder, the annotations collected for this dataset were not collected using Facebook annotators and we did not employ Facebook’s hate speech policy. We are not claiming that our dataset labels are completely accurate, or even that all annotators would agree on a particular label.
This challenge provides an opportunity to help advance multimodal machine learning systems and push forward state-of-the-art performance on a novel data set.Īs is to be expected with a dataset of this size and nature, some of the examples in the training set have been misclassified. Starter code from Facebook AI's MMF is also available on GitHub to help you get started.
This definition mirrors the community standards on hate speech employed by Facebook, and is intended to provide an actionable classification label: if something is hate speech according to this definition, it should be taken down if not, even if it is distasteful or objectionable, it is allowed to stay. Hate crime is also considered hate speech. animals) speech, statements of inferiority,Īnd calls for exclusion or segregation. We define attack as violent or dehumanizing (comparing people to non-human things,Į.g. The team at Facebook AI has decided to take the challenge head on-and they want your help! The team defines hate speech as:Ī direct or indirect attack on people based onĬharacteristics, including ethnicity, race, nationality, immigration status, religion, caste, sex, gender identity, sexual orientation, and disability orĭisease. Your algorithm needs to be multimodal to excel at this task! As the illustrative memes above show, relying on just text or just images to determine whether or not a meme is hateful is insufficient. However, by using certain types of images, text, or combinations of each of these data modalities, the seemingly non-hateful meme becomes a multimodal type of hate speech, a hateful meme.Īt the massive scale of the internet, the task of detecting multimodal hate is both extremely important and particularly difficult. Internet memes are often harmless and sometimes hilarious. Take an image, add some text: you've got a meme. Understanding when and where to use humor is something that often is found amiss in many a pieces of writing, and on the other side of the spectrum, the extreme lack of logic and seriousness could be an issue as well.Your goal is to create an algorithm that identifies multimodal hate speech in internet memes. Originality is key in everything one writes, and is exactly why writing may seem simple, yet writing well, takes a lot of hard work. Whether you are writing about vampires or an autobiography, a writer’s research is what makes their writing (not the plagiarism). Once you find out who those readers are going to be, it is time that you enhance your creativity with exquisite knowledge about the topic of your choice. Many writer’s get prompts to get rid of this block, using various websites to give them creative tipping points.īecoming a better writer is all about engaging with your target audience (suspiciously similar to marketing). Writing takes an insane amount of thinking, imagination and knowledge which can be not so easy to succumb into. The moment where you lose any idea of what you should write, or have just found a dead end with your piece. One of the biggest hurdles in any writer’s life is that of the writer’s block. But, can a vocabulary and grammar enhancer help in writing? Not exactly. From creativity to vocabulary to engagement, it isn’t a piece of cake. The one thing that they got correct is that writing is not that easy.
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