Source code of the ACL2019 paper "Simple and Effective Text Matching with Richer Alignment Features".

A pytorch implementation of the ACL2019 paper "Simple and Effective Text Matching with Richer Alignment Features".

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

Paraphrase Generation model using pair-wise discriminator loss

The enhanced RCNN model used for sentence similarity classification

BERT Model Fine-tuning on Quora Questions Pairs

The code for our submission in Kaggle's competition Quora Question Pairs which ranked in the top 25%.

CHIP 2019平安医疗科技疾病问答迁移学习比赛baseline，rank7

A siamese LSTM to detect sentence/question pairs.

Paraphrase question identification using Feature Fusion Network (FFN).

Quora Kaggle Competition : Natural Language Processing using word2vec embeddings, scikit-learn and xgboost for training

A Tensorflow BiLSTM-MaxPool Siamese Network for Quora question pairs.

Text pair classification

Three models are implemented for text similarity classification/STS problem on Quora Question Pairs dataset.

This repository contains details and key points of research papers related to NLP and Deep Learning

keras implementation for paper - Enhanced LSTM for Natural Language Inference, tested on Quora Question Pairs dataset.

Using Siamese LSTM to classify repeated quora questions. Attempted pretrained bert embeddings, Word2Vec and training own embeddings together with the model.

Quora Paraphrasing Dataset Bahasa Indonesia Version

Quora Duplicated Question Challenge (Kaggle Competition)

Identify which questions asked on Quora are duplicates of questions that have already been asked.This could be useful to instantly provide answers to questions that have already been answered,predict whether a pair of questions are duplicates or not