pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"
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Updated
Jan 23, 2023 - Python
pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"
TensorFlow implementation of "Pointer Networks"
Pointer Networks Implementation in Keras
"Neural Combinatorial Optimization with Reinforcement Learning"[Bello+, 2016], Traveling Salesman Problem solver
ACL 2019论文复现:Improving Multi-turn Dialogue Modelling with Utterance ReWriter
利用指针网络进行信息抽取,包含命名实体识别、关系抽取、事件抽取。
Sorting numbers with pointer networks
[CVPR 2022] Neural Face Identification in a 2D Wireframe Projection of a Manifold Object
An implementation of "Pointer Networks" in Tensorflow
Sequence to Sequence Models in PyTorch
Neural Models for Key Phrase Detection and Question Generation
A Seq2Seq with attention and copy mechanism for sentence summarization
An Abstractive Summarization(for Datasets in English format) Implementation with Transformer and Pointer-generator
Learning to sort numbers using a LSTM with a modified attention mechanism (Pointer Networks by Vinyals et al.).
Implementation of Transformer Pointer-Critic Deep Reinforcement Learning Algorithm
Pointer network for extractive summarization
Pointer networks 指针网络解决旅行商问题,基于tensorflow2。附带文章详解与代码注释。
Implementation of a Dynamic Coattention Network proposed by Xiong et al.(2017) for Question Answering, learning to find answers spans in a document, given a question, using the Stanford Question Answering Dataset (SQuAD2.0).
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