事件抽取文献整理(2008-2017)

前言

之前研究事件抽取领域(NLP一个小领域信息抽取的子领域), 之前整理过一些文献。

本文是 事件抽取文献整理(2019) 的后续。

事件抽取文献整理(2020-2021)
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事件抽取文献整理(2019)
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事件抽取文献整理(2018)
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事件抽取文献整理(2008-2017)

模型标题后有$代表有给代码

论文

2017

DMCNN-MIL

Automatically Labeled Data Generation for Large Scale Event Extraction
无官方源码
只给了数据 acl2017submission/event-data (github.com) To our knowledge, it is the first work to automatically label data for large scale EE via world knowledge and linguistic knowledge. All the labeled data in this paper have been released and can be downloaded freely.
这个github仓库只有readme.md文件

Liu et al.

Exploiting Argument Information to Improve Event Detection via Supervised Attention Mechanisms
无官方源码
In this work, we use the events published by Liu et al. (2016a) 5 as extra training data.
只有触发词提取，没有论元提取

word embedding, entity type embedding, attention mechanism

2016

HMM

A Language-Independent Neural Network for Event Detection (aclanthology.org)
无官方源码

NC-CNN

Modeling Skip-Grams for Event Detection with Convolutional Neural Networks (nyu.edu)
无官方源码

RBPB

Java
RBPB: Regularization-Based Pattern Balancing Method for Event Extraction (aclanthology.org)
无官方源码

有相关概念介绍:

JRNN

Joint Event Extraction via Recurrent Neural Networks (aclanthology.org)
无官方源码

JOINTEVENTENTITY

Joint Extraction of Events and Entities within a Document Context (aclanthology.org)
cpp源码: bishanyang/EventEntityExtractor (github.com)

例子:

特征来源:

BDLSTM-TNNs

Event Extraction via Bidirectional Long Short-Term Memory Tensor Neural Networks
无官方源码
借鉴了动态池化

Hsi et al.

Leveraging Multilingual Training for Limited Resource Event Extraction (aclanthology.org)
无官方源码
ACE 2005统计数据:

框架:

特征来源:

双语言平行语料

性能一般
Chinese ACE 2005

2015

DMCNN

Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks (aclanthology.org)
无官方源码
Event Trigger: 69.1
Arg role: 53.5

2013

Joint

Joint Event Extraction via Structured Prediction with Global Features (aclanthology.org)
无官方源码
特征来源表:

Nguyen et al.

Event Detection and Domain Adaptation with Convolutional Neural Networks (aclanthology.org)
无官方源码

2011

Hong et al.

Using Cross-Entity Inference to Improve Event Extraction (aclanthology.org)
无官方源码

2010

Liao et al.

Using document level cross-event inference to improve event extraction (acm.org)
无官方源码

2008

Ji et al.

Refining Event Extraction through Cross-Document Inference (aclanthology.org)
无官方源码