Code for the paper "Combining Textual Features for the Detection of Hateful and Offensive Language"

Overview

The repository provides the source code for the paper "Combining Textual Features for the Detection of Hateful and Offensive Language" submitted to HASOC 2021 English Subtask 1A.

Publication

Arxiv

Installation (requires >=Python 3.6 )

python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
download the 'resources.zip' file here: https://drive.google.com/file/d/1X88cMrLVpAcJd5Z4Gg6MfTLclIuGF-d6/view?usp=sharing
extract the content of 'resources.zip'

Training and Evaluation on HASOC datasets (2019, 2020, 2021)

Execute the following command to train and evaluate the model. The evaluation results are saved under the folder 'results'.

python main.py -c config.json

Optimizing Hyperparameters

The "config.json" file contains hyperparameters that can be changed to train different variants of the model.

{
  "base_dir": "",
  "batch_size": 64,
  "epochs": 20,
  "epoch_patience": 5,
  "bert_model_dir": "resources/hatebert",
  "monitor": "loss",
  "tweet_text_seq_len": 80,
  "tweet_text_char_len": 128,
  "char_size": 29,
  "max_learning_rate": 0.001,
  "end_learning_rate": 0.0000001,
  "rnn_type": "lstm",
  "rnn_layer_size": 200,
  "text_models": ["char_emb", "bert", "hate_words"],
  "normalize_text": true,
  "dataset_year": "2021",
  "optimizer": "adam",
  "text_use_attention": false,
  "oversample": true,
  "feature_normalization_layer_size": 512,
  "min_feature_normalization_layer_size": 64
}

bert_model_dir

"bert_model_dir": "resources/hatebert"
     OR
"bert_model_dir": "resources/bert-base"

dataset_year

"dataset_year": "2019"
	OR
"dataset_year": "2020"
	OR
"dataset_year": "2021"

text_models

"text_models": ["hate_words"]
	OR
"text_models": ["bert"]
	OR
"text_models": ["char_emb"]
	OR
"text_models": ["char_emb", "bert", "hate_words"]

rnn_type

"rnn_type": "lstm"
	OR
"rnn_type": "gru"
	OR
"rnn_type": "bi-gru"
Owner
Sherzod Hakimov
Sherzod Hakimov
Memory-efficient optimum einsum using opt_einsum planning and PyTorch kernels.

opt-einsum-torch There have been many implementations of Einstein's summation. numpy's numpy.einsum is the least efficient one as it only runs in sing

Haoyan Huo 9 Nov 18, 2022
GazeScroller - Using Facial Movements to perform Hands-free Gesture on the system

GazeScroller Using Facial Movements to perform Hands-free Gesture on the system

2 Jan 05, 2022
Deep Networks with Recurrent Layer Aggregation

RLA-Net: Recurrent Layer Aggregation Recurrence along Depth: Deep Networks with Recurrent Layer Aggregation This is an implementation of RLA-Net (acce

Joy Fang 21 Aug 16, 2022
This repository contains the official implementation code of the paper Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis, accepted at EMNLP 2021.

MultiModal-InfoMax This repository contains the official implementation code of the paper Improving Multimodal Fusion with Hierarchical Mutual Informa

Deep Cognition and Language Research (DeCLaRe) Lab 89 Dec 26, 2022
Post-training Quantization for Neural Networks with Provable Guarantees

Post-training Quantization for Neural Networks with Provable Guarantees Authors: Jinjie Zhang ( Yixuan Zhou 2 Nov 29, 2022

Image super-resolution through deep learning

srez Image super-resolution through deep learning. This project uses deep learning to upscale 16x16 images by a 4x factor. The resulting 64x64 images

David Garcia 5.3k Dec 28, 2022
A MatConvNet-based implementation of the Fully-Convolutional Networks for image segmentation

MatConvNet implementation of the FCN models for semantic segmentation This package contains an implementation of the FCN models (training and evaluati

VLFeat.org 175 Feb 18, 2022
Repo for EMNLP 2021 paper "Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression"

beyond-preserved-accuracy Repo for EMNLP 2021 paper "Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression" How to implemen

Kevin Canwen Xu 10 Dec 23, 2022
⚖️🔁🔮🕵️‍♂️🦹🖼️ Code for *Measuring the Contribution of Multiple Model Representations in Detecting Adversarial Instances* paper.

Measuring the Contribution of Multiple Model Representations in Detecting Adversarial Instances This repository contains the code for Measuring the Co

Daniel Steinberg 0 Nov 06, 2022
MLP-Numpy - A simple modular implementation of Multi Layer Perceptron in pure Numpy.

MLP-Numpy A simple modular implementation of Multi Layer Perceptron in pure Numpy. I used the Iris dataset from scikit-learn library for the experimen

Soroush Omranpour 1 Jan 01, 2022
RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds

RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds This repository contains the code asscoiated

Felix Hensel 14 Dec 12, 2022
Human Detection - Pedestrian Detection using OpenCV Python

Pedestrian Detection using OpenCV Python Follow us on Instagram for Machine Lear

Hrishikesh Dutta 1 Jan 23, 2022
Real-time analysis of intracranial neurophysiology recordings.

py_neuromodulation Click this button to run the "Tutorial ML with py_neuro" notebooks: The py_neuromodulation toolbox allows for real time capable pro

Interventional Cognitive Neuromodulation - Neumann Lab Berlin 15 Nov 03, 2022
labelpix is a graphical image labeling interface for drawing bounding boxes

Welcome to labelpix 👋 labelpix is a graphical image labeling interface for drawing bounding boxes. 🏠 Homepage Install pip install -r requirements.tx

schissmantics 26 May 24, 2022
一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM,xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,AFN,ONN,DIN, DIEN ... (pytorch, tf2.0)

CTR Algorithm 根据论文, 博客, 知乎等方式学习一些CTR相关的算法 理解原理并自己动手来实现一遍 pytorch & tf2.0 保持一颗学徒的心! Schedule Model pytorch tensorflow2.0 paper LR ✔️ ✔️ \ FM ✔️ ✔️ Fac

luo han 149 Dec 20, 2022
SymmetryNet: Learning to Predict Reflectional and Rotational Symmetries of 3D Shapes from Single-View RGB-D Images

SymmetryNet SymmetryNet: Learning to Predict Reflectional and Rotational Symmetries of 3D Shapes from Single-View RGB-D Images ACM Transactions on Gra

26 Dec 05, 2022
Official pytorch implementation of Rainbow Memory (CVPR 2021)

Rainbow Memory: Continual Learning with a Memory of Diverse Samples

Clova AI Research 91 Dec 17, 2022
Original Pytorch Implementation of FLAME: Facial Landmark Heatmap Activated Multimodal Gaze Estimation

FLAME Original Pytorch Implementation of FLAME: Facial Landmark Heatmap Activated Multimodal Gaze Estimation, accepted at the 17th IEEE Internation Co

Neelabh Sinha 19 Dec 17, 2022
Rewrite ultralytics/yolov5 v6.0 opencv inference code based on numpy, no need to rely on pytorch

Rewrite ultralytics/yolov5 v6.0 opencv inference code based on numpy, no need to rely on pytorch; pre-processing and post-processing using numpy instead of pytroch.

炼丹去了 21 Dec 12, 2022
Cobalt Strike teamserver detection.

Cobalt-Strike-det Cobalt Strike teamserver detection. usage: cobaltstrike_verify.py [-l TARGETS] [-t THREADS] optional arguments: -h, --help show this

TimWhite 17 Sep 27, 2022