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ba-thesis-w2v-semchange

chase

Cyber Hate detection And tracking on Social mEdia

clip_prefix_caption

Simple image captioning model

data

Datasets shared by research

detecting-racism-and-xenophobia-using-deep-learning-models-cnn-lstm-bert

Detecting racism and xenophobia using deep learning models on Twitter data: CNN, LSTM and BERT

glove

GloVe model for distributed word representation

hatespeech

mt-exercise-3

mt-exercise-4

mt-exercise-5

multi-modal-hate-speech

Code of the paper "Exploring Hate Speech Detection in Multimodal Publications" accepted in WACV 2020.

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

recognizing-textual-entailment

A pyTorch implementation of models used for Recognizing Textual Entailment using the SNLI corpus

sembert

Semantics-aware BERT for Language Understanding (AAAI 2020)

sentence-entailment

Benchmarking various Deep Learning models such as BERT, ALBERT, BiLSTMs on the task of sentence entailment using two datasets - MultiNLI and SNLI.

snli-entailment

attention model for entailment on SNLI corpus implemented in Tensorflow and Keras

text

Data loaders and abstractions for text and NLP

tm_ex3

vilbertscore

Code for ViLBERTScore in EMNLP Eval4NLP