Source code and resources for paper "DeepLENS: Deep Learning for Entity Summarization" (Accepted by DL4KG2020).
- Python 3
- Tensorflow 1.x
- Numpy
train_test.py
: main file for running the experiment;deeplens.py
: implementation of the DeepLENS model;
The output summaries in data/out_summ/
could be evaluated by the evaluation tool provided by ESBM v1.2 benchmark, see here for details.
If you have any questions or suggestions, please feel free to contact Qingxia Liu and Gong Cheng.