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ERE: Event Relation Extraction #48
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Thanks for the reminder! we will release the ERE code and models in 2 weeks. And I'm attending EMNLP 2023 in Singapore. Welcome to our poster to communicate! |
Thank you so much for letting us know, we appreciate it. We are waiting for the new release. And good luck with your poster presentation @ EMNLP :) |
Hi Hao, I hope this message finds you well. I was wondering if you have any plans to release the ERE module of OmniEvent. Its availability would greatly assist us in our research. Thank you, |
Hello, I'm very sorry for the delay in the release of OmniEvent-ERE due to recent busy schedules. If you urgently need the ERE module, I can send you the original OmniEvent-ERE code via email. Once this busy phase is over, I will integrate OmniEvent-ERE into the current repository. |
Hello Hao, I appreciate you sharing your current repository for the ERE part. It seems that the model needs training on various datasets to predict different types of relationships between events. Unfortunately, I don't have access to most of these datasets. Could you please share either the trained models or the processed datasets? Thank you for your assistance; I appreciate it. |
You can get some processed datasets at this repository (https://github.com/THU-KEG/MAVEN-ERE). For all the ERE datasets that we use, we abide by their licenses and will open source them together with the codes. |
Hi Hao,
Thank you so much for providing most of the dataset, I understand you can
not provide the one that are distributed under licenses.
For the MAVEN-ERE dataset that is processed by the python script
maven-ere.py under OmniEvent-ERE/scripts/data_processing/MAVEN-ERE, there
seem to be a mismatch between the json format of the data under (
https://github.com/THU-KEG/MAVEN-ERE) and the expected json format read by
maven-ere.py. Could you please provide the MAVEN-ERE dataset in the json
format processed by the script maven-ere.py?
Thank you and sorry for any inconvenience,
Eslam
…On Wed, Feb 28, 2024 at 2:18 AM Hao Peng ***@***.***> wrote:
You can get some processed datasets at this repository (
https://github.com/THU-KEG/MAVEN-ERE). For all the ERE datasets that we
use, we abide by their licenses and will open source them together with the
codes.
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Hi @h-peng17 I'm using your toolkit to train my own model on event extraction and plan to reuse it on event relation extraction. Could you send me the OmniEvent-ERE module via my email? |
ok, I have sent it to you. Sorry for the delay, I will publish it soon. |
@EslamAli86 Sorry for the late response. I remember there is only a format difference. Maybe you can convert it by yourself. |
你好 我计划使用您的工具包做ERE任务 是否方便通过邮件发送相关模块? |
@Azzz123 请提供你的邮箱,谢谢 |
@h-peng17 [email protected] thks! |
Hi, Thank you for the amazing work! |
hello,[email protected]this is my email address,hope to receive the ERE part. thks a lot! |
Hello,
Thank you for this amazing toolkit. I have a question as I tried to run the Code 2 example on page 4 in the paper (https://arxiv.org/pdf/2309.14258.pdf)
event extraction & relation extraction
all_results = infer(text=text, task="EE & ERE")
That part of the code throws the following exception:
Traceback (most recent call last):
File "/storage/home/grads/ehussein/OmniEvent/test.py", line 20, in
all_results = infer(text=text, task="ERE")
File "/storage/home/grads/ehussein/OmniEvent/OmniEvent/infer.py", line 107, in infer
assert task in ['ED', 'EAE', 'EE']
AssertionError
The toolkit does not support the ERE part yet. Do you think I need to do something to infer the event relation extraction? or will this part be released soon?
Thank you
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