Semantic Entity Retrieval Toolkit

The Semantic Entity Retrieval Toolkit (SERT) is a collection of neural entity retrieval algorithms.

Currently, it hosts an implementation of the following models:

• the log-linear model for expertise retrieval, published at WWW 2016
• the latent vector space model for product search, published at CIKM 2016

Prerequisites

SERT requires Python 3.5 and assorted modules. The trec_eval utility is required for evaluation and the end-to-end scripts. If you wish to train your models on GPGPUs, you will need a GPU compatible with Theano.

Getting started

To begin, create a virtual Python environment and install dependencies:

[[email protected] cvangysel] git clone [email protected]:cvangysel/SERT.git
[[email protected] cvangysel] cd SERT

[[email protected] SERT] virtualenv SERT-dev
Using base prefix '/Users/cvangysel/anaconda3'
New python executable in /home/cvangysel/SERT/SERT-dev/bin/python
Installing setuptools, pip, wheel...done.

[[email protected] SERT] source SERT-dev/bin/activate

(SERT-dev) [[email protected] SERT] pip install -r requirements.txt

Afterwards, follow the examples for expertise retrieval or product search.

Citation

If you use SERT to produce results for your scientific publication, please refer to our WWW 2016, CIKM 2016, ICTIR 2017 and software overview papers:

@inproceedings{VanGysel2016experts,
  title={Unsupervised, Efficient and Semantic Expertise Retrieval},
  author={Van Gysel, Christophe and de Rijke, Maarten and Worring, Marcel},
  booktitle={WWW},
  volume={2016},
  pages={1069--1079},
  year={2016},
  organization={The International World Wide Web Conferences Steering Committee}
}

@inproceedings{VanGysel2016products,
  title={Learning Latent Vector Spaces for Product Search},
  author={Van Gysel, Christophe and de Rijke, Maarten and Kanoulas, Evangelos},
  booktitle={CIKM},
  volume={2016},
  pages={165--174},
  year={2016},
  organization={ACM}
}

@inproceedings{VanGysel2017entityregularities,
  title={Structural Regularities in Text-based Entity Vector Spaces},
  author={Van Gysel, Christophe and de Rijke, Maarten and Kanoulas, Evangelos},
  booktitle={ICTIR},
  volume={2017},
  year={2017},
  organization={ACM}
}

@inproceedings{VanGysel2017sert,
  title={Semantic Entity Retrieval Toolkit},
  author={Van Gysel, Christophe and de Rijke, Maarten and Kanoulas, Evangelos},
  booktitle={SIGIR 2017 Workshop on Neural Information Retrieval (Neu-IR'17)},
  year={2017},
}

License

SERT is licensed under the MIT license. If you modify SERT in any way, please link back to this repository.