Papers Meme Classification
“Meme Classification” 태그가 달린 논문 60편 · 필터 해제
YNU-HPCC at SemEval-2021 Task 6: Combining ALBERT and Text-CNN for Persuasion Detection in Texts and Images
In recent years, memes combining image and text have been widely used in social media, and memes are one of the most popular types of content used in online disinformation campaigns. In this paper, our study on the detec…
Meme Classificationtext-classificationText ClassificationVL-BERT+: Detecting Protected Groups in Hateful Multimodal Memes
This paper describes our submission (winning solution for Task A) to the Shared Task on Hateful Meme Detection at WOAH 2021. We build our system on top of a state-of-the-art system for binary hateful meme classification …
Data AugmentationHateful Meme ClassificationMeme ClassificationUVCE-IIITT@DravidianLangTech-EACL2021: Tamil Troll Meme Classification: You need to Pay more Attention
Tamil is a Dravidian language that is commonly used and spoken in the southern part of Asia. In the era of social media, memes have been a fun moment in the day-to-day life of people. Here, we try to analyze the true mea…
Binary ClassificationGeneral ClassificationMeme ClassificationIIITK@DravidianLangTech-EACL2021: Offensive Language Identification and Meme Classification in Tamil, Malayalam and Kannada
This paper describes the IIITK team’s submissions to the offensive language identification, and troll memes classification shared tasks for Dravidian languages at DravidianLangTech 2021 workshop@EACL 2021. Our best confi…
ClassificationLanguage IdentificationMeme ClassificationFindings of the Shared Task on Troll Meme Classification in Tamil
The internet has facilitated its user-base with a platform to communicate and express their views without any censorship. On the other hand, this freedom of expression or free speech can be abused by its user or a troll …
Meme ClassificationHUB@DravidianLangTech-EACL2021: Meme Classification for Tamil Text-Image Fusion
This article describes our system for task DravidianLangTech - EACL2021: Meme classification for Tamil. In recent years, we have witnessed the rapid development of the Internet and social media. Compared with traditional…
Meme ClassificationIIIT_DWD@EACL2021: Identifying Troll Meme in Tamil using a hybrid deep learning approach
Social media are an open forum that allows people to share their knowledge, abilities, talents, ideas, or expressions. Simultaneously, it also allows people to post disrespectful, trolling, defamation, or negative conten…
Meme ClassificationTrollMeta@DravidianLangTech-EACL2021: Meme classification using deep learning
Memes act as a medium to carry one’s feelings, cultural ideas, or practices by means of symbols, imitations, or simply images. Whenever social media is involved, hurting the feelings of others and abusing others are alwa…
ClassificationDeep LearningMeme ClassificationSimon @ DravidianLangTech-EACL2021: Meme Classification for Tamil with BERT
In this paper, we introduce the system for the task of meme classification for Tamil, submitted by our team. In today’s society, social media has become an important platform for people to communicate. We use social medi…
ClassificationMeme ClassificationSSNCSE_NLP@DravidianLangTech-EACL2021: Meme classification for Tamil using machine learning approach
Social media are interactive platforms that facilitate the creation or sharing of information, ideas or other forms of expression among people. This exchange is not free from offensive, trolling or malicious contents tar…
BIG-bench Machine LearningMeme ClassificationCodewithzichao@DravidianLangTech-EACL2021: Exploring Multimodal Transformers for Meme Classification in Tamil Language
This paper describes our submission to shared task on Meme Classification for Tamil Language. To address this task, we explore a multimodal transformer for meme classification in Tamil language. According to the characte…
ClassificationMeme ClassificationLearning Transferable Visual Models From Natural Language Supervision
State-of-the-art computer vision systems are trained to predict a fixed set of predetermined object categories. This restricted form of supervision limits their generality and usability since additional labeled data is n…
Action RecognitionBenchmarkingFew-Shot Image Classificationgeo-localization+21Detecting Hate Speech in Memes Using Multimodal Deep Learning Approaches: Prize-winning solution to Hateful Memes Challenge
Memes on the Internet are often harmless and sometimes amusing. However, by using certain types of images, text, or combinations of both, the seemingly harmless meme becomes a multimodal type of hate speech -- a hateful …
Ensemble LearningMeme ClassificationMultimodal Deep LearningMultimodal Text and Image ClassificationEnhance Multimodal Transformer With External Label And In-Domain Pretrain: Hateful Meme Challenge Winning Solution
Hateful meme detection is a new research area recently brought out that requires both visual, linguistic understanding of the meme and some background knowledge to performing well on the task. This technical report summa…
Meme ClassificationVilio: State-of-the-art Visio-Linguistic Models applied to Hateful Memes
This work presents Vilio, an implementation of state-of-the-art visio-linguistic models and their application to the Hateful Memes Dataset. The implemented models have been fitted into a uniform code-base and altered to …
Meme ClassificationKAFK at SemEval-2020 Task 8: Extracting Features from Pre-trained Neural Networks to Classify Internet Memes
This paper presents two approaches for the internet meme classification challenge of SemEval-2020 Task 8 by Team KAFK (cosec). The first approach uses both text and image features, while the second approach uses only the…
ClassificationMeme ClassificationOnly text? only image? or both? Predicting sentiment of internet memes
Nowadays, the spread of Internet memes on online social media platforms such as Instagram, Facebook, Reddit, and Twitter is very fast. Analyzing the sentiment of memes can provide various useful insights. Meme sentiment …
ClassificationMeme ClassificationSentiment AnalysisSentiment ClassificationThe Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes
This work proposes a new challenge set for multimodal classification, focusing on detecting hate speech in multimodal memes. It is constructed such that unimodal models struggle and only multimodal models can succeed: di…
Binary ClassificationClassificationGeneral ClassificationMeme ClassificationMultimodal Meme Dataset (MultiOFF) for Identifying Offensive Content in Image and Text
A meme is a form of media that spreads an idea or emotion across the internet. As posting meme has become a new form of communication of the web, due to the multimodal nature of memes, postings of hateful memes or relate…
Abuse DetectionMeme ClassificationmemeBot: Towards Automatic Image Meme Generation
Image memes have become a widespread tool used by people for interacting and exchanging ideas over social media, blogs, and open messengers. This work proposes to treat automatic image meme generation as a translation pr…
DecoderMeme CaptioningMeme ClassificationSentence