Data

Tools

Indexes

Applications

Experiments

Open Source Science

doced

[ACL 2021] MLBiNet: A Cross-Sentence Collective Event Detection Network

https://github.com/zjunlp/doced

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ✓
    Academic publication links
    Links to: arxiv.org
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (7.5%) to scientific vocabulary

Keywords

cross-sentence event-detection event-extraction
Last synced: 7 months ago · JSON representation ·

Repository

[ACL 2021] MLBiNet: A Cross-Sentence Collective Event Detection Network

Basic Info
  • Host: GitHub
  • Owner: zjunlp
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 17.1 MB
Statistics
  • Stars: 35
  • Watchers: 4
  • Forks: 6
  • Open Issues: 0
  • Releases: 0
Topics
cross-sentence event-detection event-extraction
Created about 5 years ago · Last pushed about 4 years ago
Metadata Files
Readme Citation

README.md

DocED

This repository is the official implementation of the ACL 2021 paper MLBiNet: A Cross-Sentence Collective Event Detection Network.

Requirements

To install basic requirements:

pip install requirements.txt

Datasets

ACE2005 can be found here: https://catalog.ldc.upenn.edu/LDC2006T06

Basic training

To evaluate a setting with serveral random trials, execute

python runexperimentsmulti.py

Main hyperparameters in train_MLBiNet.py include:

--taggingmechanism, mechanism to model event inter-dependency, you can choose one of "forwarddecoder", "backwarddecoder" or "bidirectionaldecoder"

--numtaglayers, number of tagging layers, 1 indicates that we do sentence-level ED, 2 indicates that information of adjacent sentences were aggregated, ...

--maxdoclen, maximum number of consecutive sentences are extracted as a mini-document, we can set it as 8 or 16

--tag_dim, dimension of an uni-directional event tagging vector

--selfattnot, whether to apply self-attention mechanism in sentence encoder

Main results

Overall performance on ACE2005

image

Performance on detecting multiple events collectively

image

where 1/1 means one sentence that has one event; otherwise, 1/n is used.

Performance of our proposed method with different multi-layer settings or decoder methods

image

How to Cite

bibtex @inproceedings{ACL2021_MLBiNet, author = {Dongfang Lou and Zhilin Liao and Shumin Deng and Ningyu Zhang and Huajun Chen}, title = {MLBiNet: A Cross-Sentence Collective Event Detection Network}, booktitle = {{ACL}}, publisher = {Association for Computational Linguistics}, year = {2021} }

Owner

  • Name: ZJUNLP
  • Login: zjunlp
  • Kind: organization
  • Location: China

A NLP & KG Group of Zhejiang University

Citation (CITATION.cff) 

cff-version: "1.0.0"
message: "If you use this code, please cite it using these metadata."
title: "doced"
repository-code: "https://github.com/zjunlp/DocED"
authors: 
  - family-names: Lou
    given-names: Dongfang
  - family-names: Liao
    given-names: Zhilin
  - family-names: Deng
    given-names: Shumin
  - family-names: Zhang
    given-names: Ningyu
  - family-names: Chen
    given-names: Huajun
preferred-citation:
  type: article
  title: "MLBiNet: A Cross-Sentence Collective Event Detection Network"
  authors:
  - family-names: Lou
    given-names: Dongfang
  - family-names: Liao
    given-names: Zhilin
  - family-names: Deng
    given-names: Shumin
  - family-names: Zhang
    given-names: Ningyu
  - family-names: Chen
    given-names: Huajun
  journal: "arXiv preprint arXiv:2105.09458"
  year: 2021

GitHub Events

Total
Last Year

Committers

Last synced: 10 months ago

All Time
  • Total Commits: 8
  • Total Committers: 2
  • Avg Commits per committer: 4.0
  • Development Distribution Score (DDS): 0.375
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
FinTechNLP 3****1 5
NingyuZhang z****0@v****m 3
Committer Domains (Top 20 + Academic)
vip.qq.com: 1

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 5
  • Total pull requests: 1
  • Average time to close issues: 25 days
  • Average time to close pull requests: about 2 hours
  • Total issue authors: 5
  • Total pull request authors: 1
  • Average comments per issue: 3.6
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • Foxaver (1)
  • liu-yao-di (1)
  • 1996659 (1)
  • jl109 (1)
  • anya427 (1)
Pull Request Authors
  • ldf2015311051 (1)
Top Labels
Issue Labels
question (1)
Pull Request Labels

Dependencies

requirements.txt pypi
  • tensorflow ==1.13.1