论文导读｜《Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model》

时间 2020-12-30

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北京大学张欣博原文《Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model》收录于EMNLP2018 语义解析（Semantic Parsing）将文本转化为逻辑形式或结构化查询（text2logicform），已有很多神经网络方法，学习文本和逻辑形式之间的软对齐进行语义解析

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1. 论文阅读《SegStereo: Exploiting Semantic Information for Disparity Estimation》
2. 论文阅读笔记《SegStereo: Exploiting Semantic Information for Disparity Estimation》
3. 论文札记之 - A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval...
4. 论文导读｜Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing
5. 【论文解读 ICDM 2019 | MVNN】Exploiting Multi-domain Visual Information for Fake News Detection
6. Enriching Pre-trained Language Model with Entity Information for Relation Classification论文阅读
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8. 【图像分割论文阅读】LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation
9. 论文解读：R-CNN《Rich feature hierarchies for accurate object detection and semantic segmentation》
10. 【论文阅读笔记】Rich feature hierarchies for accurate object detection and semantic segmentation

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