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released code for our EMNLP22 paper: UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction

active 2023-08-262026-04-02 (UTC)

Partial coverage20,534 / 26,290 hourly files (78%) · 2 absent upstream · 5,753 failed, retryable2023-08-152026-08-14 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
79
Pushes
0
Pull requests
0
Issues
9
Stars
37
Forks
9

Activity over time

Daily event counts in the loaded window

Line chart, 951 days from 2023-08-26 to 2026-04-02. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 9 total, peak 1 in a day. Comments: 24 total, peak 5 in a day. Stars: 37 total, peak 2 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
wtangdev120010
I-Good-Vegetable6003
yxy01024003
jiayan19994003
nieshuhan3003
2585082001
Cishenn1000
skyWalker19971001

Recent activity

Latest issues, pull requests and releases

  • Issue comment#2nieshuhan2025-06-06 09:58
    Experiment evaluation
  • Issue comment#10nieshuhan2025-06-06 09:51
    webNLG关系类型数的减少
  • Issue comment#10nieshuhan2025-06-06 09:50
    webNLG关系类型数的减少
  • Issue comment#20I-Good-Vegetable2024-07-19 20:17
    IndexError: list index out of range in data_processor.py
  • Issue#23I-Good-Vegetable2024-07-19 20:13
    span,head,tail是否冗余
  • Issue comment#22I-Good-Vegetable2024-06-08 04:58
    Bert模型不支持scaled_dot_product_attention
  • Issue#22I-Good-Vegetable2024-06-08 04:58
    Bert模型不支持scaled_dot_product_attention
  • Issue comment#22wtangdev2024-06-08 04:51
    Bert模型不支持scaled_dot_product_attention
  • Issue comment#22I-Good-Vegetable2024-06-07 20:34
    Bert模型不支持scaled_dot_product_attention
  • Issue#22I-Good-Vegetable2024-06-07 18:35
    Bert模型不支持scaled_dot_product_attention
  • Issue#21wtangdev2024-05-27 02:55
    模型是如何保存的?
  • Issue comment#202585082024-05-26 05:51
    IndexError: list index out of range in data_processor.py
  • Issue comment#21wtangdev2024-05-26 05:11
    模型是如何保存的?
  • Issue#212585082024-05-26 00:39
    模型是如何保存的?
  • Issue comment#19wtangdev2024-04-15 02:47
    关于中文数据集
  • Issue comment#18wtangdev2024-03-26 05:15
    关于论文几个浅显想法
  • Issue#18Cishenn2024-03-23 05:43
    关于论文几个浅显想法
  • Issue#15wtangdev2024-03-06 07:18
    请问这个模型可以做中文数据集的关系抽取吗
  • Issue comment#16wtangdev2024-03-06 07:18
    模型中是如何获取头尾实体,交互只是预训练模型的注意力矩阵吗?如何输出保存最好的模型呢,我跑出的结果相差很大
  • Issue comment#16wtangdev2024-03-06 07:17
    模型中是如何获取头尾实体,交互只是预训练模型的注意力矩阵吗?如何输出保存最好的模型呢,我跑出的结果相差很大
  • Issue comment#16yxy01022024-01-07 12:25
    模型中是如何获取头尾实体,交互只是预训练模型的注意力矩阵吗?如何输出保存最好的模型呢,我跑出的结果相差很大
  • Issue comment#16wtangdev2024-01-06 14:52
    模型中是如何获取头尾实体,交互只是预训练模型的注意力矩阵吗?如何输出保存最好的模型呢,我跑出的结果相差很大
  • Issue comment#16yxy01022024-01-06 13:54
    模型中是如何获取头尾实体,交互只是预训练模型的注意力矩阵吗?如何输出保存最好的模型呢,我跑出的结果相差很大
  • Issue#16yxy01022024-01-06 13:49
    最新的代码为什么没有记录数据,为什么保存模型时是隔2000保存一次,而不是保存最好的,无法得到f1
  • Issue comment#6yxy01022024-01-04 13:11
    tokenizer

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 37 stars here means stars gained during the window, not the repo's star count.