Automatic extraction of causal chains from text
Background. Automatic extraction of causal chains is valuable for discovering previously unknown and hidden connections between events. However, there is only a handful of works devoted to automatic extraction of causal chains from text. Objective. To develop a method for automatic extraction of cau...
Saved in:
Main Authors: | Huminski, Aliaksandr, Ng, Yan Bin |
---|---|
Format: | Article |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/154414 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Automatic information extraction and text mining in medical abstracts.
by: Wang, Wei.
Published: (2009) -
Automatic identification of two-word terms in English text.
by: Heng, Siok Tian.
Published: (2008) -
Query-based text extraction algorithm for web pages.
by: New, Chin Ker.
Published: (2008) -
A method for extracting causal knowledge from textual databases
by: Chan, Syin, et al.
Published: (2014) -
Causal knowledge in medical abstracts
by: Ang, Alyssa Lay Hoon
Published: (2008)