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@@ -6,6 +6,8 @@ This repo contains preliminary code of the following paper:
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Shibo Hao*, Bowen Tan*, Kaiwen Tang*, Hengzhe Zhang, Eric P. Xing, Zhiting Hu \
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(* Equal contribution)
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Play the [demo](https://lmnet.io/)!
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## Getting Started
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* Symbolic knowledge graphs (KGs) have been constructed either by expensive human crowdsourcing or with domain-specific complex information extraction pipelines.
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* In this work, we aim at harvesting symbolic KGs from the LMs, a new framework for automatic KG construction empowered by the neural LMs' flexibility and scalability.
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@@ -111,4 +113,4 @@ The results will be saved into `summary.txt` in `{result_dir}`, e.g., [results/c
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| \ | ['strong arms', 'strong legs', 'stand'] | ['men', 'blood', 'fight'] |
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| \ | ['good company', 'good friends', 'keep'] | ['humans', 'blood', 'feed'] |
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| \ | ['French Wines', 'Wine Glasses', 'taste better'] | ['male cells', 'sperm cells', 'differentiate'] |
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+------------------------------------------------+--------------------------------------------------------+--------------------------------------------------+```
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+------------------------------------------------+--------------------------------------------------------+--------------------------------------------------+```
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