Comments (7)
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!
from omnievent.
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 :)
from omnievent.
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,
from omnievent.
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.
from omnievent.
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.
from omnievent.
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.
from omnievent.
from omnievent.
Related Issues (20)
- problems with installation HOT 1
- base_processor.py的136行是否有bug呢? HOT 5
- do_event_argument_extraction() missing 1 required positional argument: 'device' HOT 4
- There is a fatal bug ,please fix it . HOT 2
- 无法安装deepspeed HOT 1
- 运行EAE任务时出错 HOT 1
- Question / Potential Bug re: Seq2Seq Example HOT 1
- Can you provide a maven-ere Omnievent pretrained model used for event relation extraction? HOT 1
- readme里面的运行步骤 写到一个py文件中 HOT 1
- Constrained Decoding HOT 1
- 服务器连接不上huggingface,无法加载model,请教有没有什么更好的解决方案,谢谢! HOT 2
- Information on models fine-tuning used in OmniEvent.infer HOT 3
- ace2005-zh-novalue HOT 1
- Event Ontology HOT 1
- 成功安装后首次运行报错 HOT 8
- 运行环境 HOT 1
- 找不到train HOT 1
- No CUDA GPUs are available HOT 1
- 安装时报错,python3.9和3.12都不行
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from omnievent.