Kaggle：Quora Question Pairs, 4th/3396 (https://www.kaggle.com/c/quora-question-pairs)

A Keras model that addresses the Quora Question Pairs dyadic prediction task.

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

Various models and code (Manhattan LSTM, Siamese LSTM + Matching Layer, BiMPM) for the paraphrase identification task, specifically with the Quora Question Pairs dataset.

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

Siamese LSTM for evaluating semantic similarity between sentences of the Quora Question Pairs Dataset.

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

My solution to Kaggle Quora Question Pairs competition (Top 2%, Private LB log loss 0.13497).

Kaggle Quora Questions Pairs Competition

Kaggle Quora 第21名解决方案

Kaggle | Quora Question Pairs❓🥉

A NLP project to find weather given 2 questions are same are not semantically speaking.

This is our team's solution report, which achieves top 10% (305/3307) in this competition.

Kaggle Competition: Using deep learning to solve quora's question pairs problem

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

Quora Question pair similarity - Machine Learning Project

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.

Using MaLSTM model (Siamese networks + LSTMs) for sentence similarity detection

Paraphrase question identification using Feature Fusion Network (FFN).

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

Methods used: Cosine Similarity with Glove, Smooth Inverse Frequency, Word Movers Difference, Sentence Embedding Models (Infersent and Google Sentence Encoder), ESIM with pre-trained FastText embedding. Best performing method on Quora Question pair dataset was an Ensemble method with 0.27 log-loss.

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

七月在线集训营第6期NLP结业项目

Text pair classification

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

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