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Graph Context Attention Knowledge Embedding

Instractions

Install requirements

pip3 install -r requirements.txt

Get data

git lfs pull

Run

python3 manage.py --model [GCAKE] --dataset [FB15K-237, WN18RR]
./train_all_dataset.sh [GCAKE]

Get raw data:

./data_downloader.sh

Get trainable data

./data_preprocessing.sh

Dataset

Knowledge Graph with Entity Description

想问一下WN18 和 WN18RR是什么关系 · Issue #76 · thunlp/OpenKE

head\trelation\ttail\t[cls] head_description [sep] relation_text [sep] tail_description [sep]\n

Freebase

data/FB15K-237/*.tsv

WordNet

data/WN18RR/*.tsv


Knowledge Graph

AGENDA Dataset

all-in-one json

  • Train: 38720
  • Valid: 1000
  • Test: 1000

Relation Extraction/Classification

SemEval 2007 Task 4

each relation (total 7) a file

  • Train (0-140): 140 x 7
  • Test (141-?)
    • relation 1: 220
    • relation 2: 218
    • relation 3: 233
    • relation 4: 221
    • relation 5: 211
    • relation 6: 212
    • relation 7: 214

SemEval 2010 Task 8

all-in-one txt

  • Train (1-8000): 8000
  • Test (8001-10717): 2717

ReRelEM

all-in-one xml

  • Total
    • Element 'DOC': 129

BioNLP Shared Task

each sample three file (rel, a1, txt)

  • Total: 798

DBpediaRelations-PT

all-in-one txt

grep -o 'SENTENCE' data/DBpediaRelations-PT/DBpediaRelations-PT-0.2.txt | wc -l

  • Total: 98023

Coding Stytle

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