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DeepLENS: Deep Learning for Entity Summarization (DL4KG 2020)

License: Apache License 2.0

Python 100.00%
entity-summarization deep-learning

deeplens's Introduction

DeepLENS

Source code and resources for paper "DeepLENS: Deep Learning for Entity Summarization" (Accepted by DL4KG2020).

Dependencies

  • Python 3
  • Tensorflow 1.x
  • Numpy

Code

  • train_test.py: main file for running the experiment;
  • deeplens.py: implementation of the DeepLENS model;

Evaluation

The output summaries in data/out_summ/ could be evaluated by the evaluation tool provided by ESBM v1.2 benchmark, see here for details.

Contact

If you have any questions or suggestions, please feel free to contact Qingxia Liu and Gong Cheng.

deeplens's People

Contributors

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deeplens's Issues

关于数据处理的问题

同学你好,代码里给出的tlabels_topn是什么含义呢?这部分的数据是怎么做预处理的呢?

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