[Embedded in AREkit-0.20.0 and later versions]
UPD December 7rd, 2019: this attention model becomes a part of AREkit framework (original, interactive). Please proceed with this framework for an embedded implementation.
This project is an unofficial implementation of MLP attention -- multilayer perceptron attention network, proposed by Yatian Shen and Xuanjing Huang as an application for Relation Extraction Task [paper].
Vector representation of words and entities includes:
- Term embedding;
- Part-Of-Speech (POS) embedding;
- Distance embedding;
You may proceed with the following repositories NLDB-2020 paper/code; WIMS-2020 paper/code.
This version has been embedded in AREkit-[0.20.3], and become a part of the following papers:
- Attention-Based Neural Networks for Sentiment Attitude Extraction using Distant Supervision
[ACM-DOI] /
[presentation]
- Rusnachenko Nicolay, Loukachevitch Natalia
- WIMS-2020
- Studying Attention Models in Sentiment Attitude Extraction Task
[Springer] /
[arXiv:2006.11605] /
[presentaiton]
- Rusnachenko Nicolay, Loukachevitch Natalia
- NLDB-2020
- Attention-Based Convolutional Neural Network for Semantic Relation Extraction [paper]
- Yatian Shen and Xuanjing Huang
- COLING 2016