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YoungXiyuan authored Sep 14, 2019
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## Data
Download [data](https://drive.google.com/file/d/1xW-t80cKDMx3ZL-hrRUxlm6QMZIRvUyU/view) from here and unzip to the main folder (i.e. your-path/DCA).

This data archive contains the following resource files:

- **Dataset**: One in-domain dataset (AIDA-CoNLL) and Five cross-domain datasets (MSNBC/AQUAINT/ACE2004/CWEB/WIKI). These datasets share the same data format.

- **Type Embedding**: Used to compute type similarity between mention-entity pairs. These type embedding are trained by a typing system called [NFETC](https://arxiv.org/abs/1803.03378) model.

- **Wikipedia inLinks and outLinks**: Surface names of inlinks and outlinks for a Wikipedia page (entity) are used to construct **dynamic context**.


## Installation

Requirements: Python 3.5 or 3.6, Pytorch 0.3, CUDA 7.5 or 8
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