Domain-Specific Term Extraction: A Case Study on Greek Maritime Legal Texts-Reference-Cited by-同舟云学术

Domain-Specific Term Extraction: A Case Study on Greek Maritime Legal Texts

Published:2022-09-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 12th Hellenic Conference on Artificial Intelligence
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Author:

Mouratidis Despoina¹,Mathe Eirini¹,Voutos Yorghos¹,Stamou Klio²,Kermanidis Katia Lida¹,Mylonas Phivos¹,Kanavos Andreas³

Affiliation:

1. Department of Informatics, Ionian University, Greece

2. Department of History, Ionian University, Greece

3. Department of Digital Media and Communication, Ionian University, Greece

Funder

European Union and Greek national funds through the Competitiveness, Entrepreneurship and Innovation Operational Programme 2014-2020

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3549737.3549751

Reference35 articles.

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3. Jody Foo and Magnus Merkel . 2010 . Using Machine Learning to Perform Automatic Term Recognition . In LREC 2010 Workshop on Methods for Automatic Acquisition of Language Resources and their Evaluation Methods. 49–54 . Jody Foo and Magnus Merkel. 2010. Using Machine Learning to Perform Automatic Term Recognition. In LREC 2010 Workshop on Methods for Automatic Acquisition of Language Resources and their Evaluation Methods. 49–54.

4. William B. Frakes , Gregory Kulczycki , and Jason Tilley . 2015 . A Comparison of Methods for Automatic Term Extraction for Domain Analysis . In 14th International Conference on Software Reuse (ICSR)(Lecture Notes in Computer Science, Vol. 8919) . 269–281. William B. Frakes, Gregory Kulczycki, and Jason Tilley. 2015. A Comparison of Methods for Automatic Term Extraction for Domain Analysis. In 14th International Conference on Software Reuse (ICSR)(Lecture Notes in Computer Science, Vol. 8919). 269–281.

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