Crossmark

An Overview of Ways of Discovering Cause-Effect Relations in Text by Using Natural Language Processing

Crossref DOI link: https://doi.org/10.1007/978-3-030-40223-5_2

Published Online: 2020-02-09

Published Print: 2020

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Nazaruka, Erika http://orcid.org/0000-0002-1731-989X
License Information

Text and Data Mining valid from 2020-01-01
More Information

Chapter History

First Online: 9 February 2020

Conference Information

Conference Acronym: ENASE

Conference Name: International Conference on Evaluation of Novel Approaches to Software Engineering

Conference City: Heraklion, Crete

Conference Country: Greece

Conference Year: 2019

Conference Start Date: 4 May 2019

Conference End Date: 5 May 2019

Conference Number: 14

Conference ID: enase2019

Conference URL: http://www.enase.org/?y=2019

Peer Review Information (provided by the conference organizers)

Type: Double-blind

Conference Management System: PRIMORIS

Number of Submissions Sent for Review: 102

Number of Full Papers Accepted: 19

Number of Short Papers Accepted: 0

Acceptance Rate of Full Papers: 19% - The value is computed by the equation "Number of Full Papers Accepted / Number of Submissions Sent for Review * 100" and then rounded to a whole number.

Average Number of Reviews per Paper: 3

Average Number of Papers per Reviewer: 3

External Reviewers Involved: No