BiMPM: Bilateral Multi-Perspective Matching for Natural Language Sentences
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Updated
Aug 18, 2021 - Python
BiMPM: Bilateral Multi-Perspective Matching for Natural Language Sentences
Various models and code (Manhattan LSTM, Siamese LSTM + Matching Layer, BiMPM) for the paraphrase identification task, specifically with the Quora Question Pairs dataset.
Neural network toolkit for sentence pair modeling.
Heterogenous, Task- and Domain-Specific Benchmark for Unsupervised Sentence Embeddings used in the TSDAE paper: https://arxiv.org/abs/2104.06979.
Paraphrase question identification using Feature Fusion Network (FFN).
Paraphrase Generation Using Deep Reinforcement Learning - MSc Thesis
Source code for SDM 2020 paper "What Do Questions Exactly Ask? MFAE: Duplicate Question Identification with Multi-Fusion Asking Emphasis"
Paraphrase Identification with Deep Learning using Keras
Matching The Statements: A Simple and Accurate Model for Key Point Analysis (ArgMining | EMNLP 2021)
Official Repository for the paper titled "Meta-Learning for Effective Multi-task and Multilingual Modelling" accepted at EACL 2021
Project of Paraphrase Identification Based on Weighted URAE, Unit Similarity and Context Correlation Feature
Paraphrase Detection applied to Medical domain
Deep Learning NLP Library
Implementing various measures of paraphrase detection on Microsoft Paraphrase Corpus and checking their performance on original high dimension TF-IDF matrix and it's low dimension approximation
Paraphrase Checking Web App implementing ML.
A Pre-trained Language Model for Semantic Similarity Measurement of Persian Informal Short Texts
This repository is for the paper Paraphrase Identification via Textual Inference. In Proceedings of the 13th Joint Conference on Lexical and Computational Semantics (*SEM 2024), Mexico City, Mexico. Association for Computational Linguistics.
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