Detecting and Extracting Events from Text Documents

01/15/2016
by   Jugal Kalita, et al.
0

Events of various kinds are mentioned and discussed in text documents, whether they are books, news articles, blogs or microblog feeds. The paper starts by giving an overview of how events are treated in linguistics and philosophy. We follow this discussion by surveying how events and associated information are handled in computationally. In particular, we look at how textual documents can be mined to extract events and ancillary information. These days, it is mostly through the application of various machine learning techniques. We also discuss applications of event detection and extraction systems, particularly in summarization, in the medical domain and in the context of Twitter posts. We end the paper with a discussion of challenges and future directions.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
08/25/2019

Open Event Extraction from Online Text using a Generative Adversarial Network

To extract the structured representations of open-domain events, Bayesia...
research
03/28/2023

Synthetically generated text for supervised text analysis

Supervised text models are a valuable tool for political scientists but ...
research
03/17/2016

Bank distress in the news: Describing events through deep learning

While many models are purposed for detecting the occurrence of significa...
research
07/07/2020

A Survey of Real-Time Social-Based Traffic Detection

Online traffic news web sites do not always announce traffic events in a...
research
11/05/2021

An overview of event extraction and its applications

With the rapid development of information technology, online platforms h...
research
11/02/2018

Abstractive Summarization of Reddit Posts with Multi-level Memory Networks

We address the problem of abstractive summarization in two directions: p...
research
11/02/2015

Spatial Semantic Scan: Jointly Detecting Subtle Events and their Spatial Footprint

Many methods have been proposed for detecting emerging events in text st...

Please sign up or login with your details

Forgot password? Click here to reset