1. Prepare ACE 2005 dataset.

   (Download: https://catalog.ldc.upenn.edu/LDC2006T06. Note that ACE 2005 dataset is not free.)

2. Install the packages.

   pip install stanfordcorenlp beautifulsoup4 nltk tqdm
   

3. Download stanford-corenlp model.

   wget http://nlp.stanford.edu/software/stanford-corenlp-full-2018-10-05.zip
   unzip stanford-corenlp-full-2018-10-05.zip

   Note that to run stanford-corenlp tool, Java should be installed in advance.

Find the following two files

ace_2005_td_v7/data/English/un/timex2norm/alt.vacation.las-vegas_20050109.0133.afp.xml

ace_2005_td_v7/data/English/un/timex2norm/alt.vacation.las-vegas_20050109.0133.sgm

In each file, search the context around Doctors Without Borders. Then you can see the content Doctors Without Borders/Médecins Sans Frontières. You should replace the French characters é with e and è with e to avoid the bug. Note that this modification should be applied to both two files. The attached JMEE_train_filter_no_timevalue.json contains the processed format of alt.vacation.las-vegas_20050109.0133.afp.xml and alt.vacation.las-vegas_20050109.0133.sgm.

For Linux system, run:

sudo python main.py --data=./data/ace_2005_td_v7/data/English --nlp=./stanford-corenlp-full-2018-10-05

For Windows system, run

python main.py --data=./data/ace_2005_td_v7/data/English --nlp=./stanford-corenlp-full-2018-10-05

• Then you can get the parsed data in output directory.

• If it is not executed with the sudo, an error can occur when using stanford-corenlp.

• It takes about 30 minutes to complete the pre-processing.

This preprocessing code is appropriate for the following two papers:

[1] Li M, Zareian A, Zeng Q, et al. Cross-media Structured Common Space for Multimedia Event Extraction[C]//Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. 2020: 2557-2568.
[2] Liu X, Luo Z, Huang H Y. Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation[C]//Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. 2018: 1247-1256.