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Search results for graph acl
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13 search results found
Gnn4nlp Papers
⭐
824
A list of recent papers about Graph Neural Network methods applied in NLP areas.
Cogqa
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297
Source code and dataset for ACL 2019 paper "Cognitive Graph for Multi-Hop Reading Comprehension at Scale"
Pytorch_graph Rel
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255
A PyTorch implementation of GraphRel
Articlepairmatching
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175
The code of ACL 2019 paper: Matching Article Pairs with Graphical Decomposition and Convolutions
What I Have Read
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149
Paper Lists, Notes and Slides, Focus on NLP. For summarization, please refer to https://github.com/xcfcode/Summarization-Papers
Tutorial
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88
Tutorial on ‘Graph-Based Meaning Representations: Design and Processing’ (ACL 2019)
Kg Reeval
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78
ACL 2020: A Re-evaluation of Knowledge Graph Completion Methods
R Men
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70
Transformer-based Memory Networks for Knowledge Graph Embeddings (ACL 2020) (Pytorch and Tensorflow)
Crosslingula Kg Matching
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66
This is the code for ACL paper "Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network"
Unf
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63
UNF(Universal NLP Framework)
Sg Deep Question Generation
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61
This repository contains code and models for the paper: Semantic Graphs for Generating Deep Questions (ACL 2020).
Graph2tree
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44
Code for Graph-to-Tree Learning for Solving Math Word Problems (ACL 2020)
Complex Nne_aer
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42
Improving Knowledge Graph Embedding Using Simple Constraints (ACL-2108)
Seek
⭐
25
Source code for the ACL 2020 paper "SEEK: Segmented Embedding of Knowledge Graphs".
Concept Prerequisite Papers
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21
List of papers on concept prerequisite learning.
Spring Security Acl Neo4j
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10
Supporting Library for Spring Security Acl with Neo4j Graph Database
Acl2015 Dataset Learning To Explain Entity Relationships
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9
Dataset for the ACL 2015 paper : Learning to Explain Entity Relationships in Knowledge Graphs
Walk Based Re
⭐
7
Source code for the ACL 2018 paper: "A Walk-based model on Entity Graphs for Relation Extraction"
Kafka Acl Viewer
⭐
6
View your Kafka cluster ACLs as a graph
Hdegraph
⭐
6
Code for ACL 2019 paper "Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs"
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