33.2763, TOC: Natural Language Engineering 28 / 4 (2022)

[The LINGUIST List]

LINGUIST List: Vol-33-2763. Fri Sep 09 2022. ISSN: 1069 - 4875.

Subject: 33.2763, TOC:  Natural Language Engineering 28 / 4 (2022)

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================================================================


Date: Fri, 09 Sep 2022 19:35:16
From: Ellena Moriarty [ellena.moriarty at cambridge.org]
Subject: Natural Language Engineering Vol. 28, No. 4 (2022)

 
Publisher:	Cambridge University Press
			http://www.cambridge.org/linguistics 
			
Journal Title:  Natural Language Engineering 
Volume Number:  28 
Issue Number:  4 
Issue Date:  2022 


Main Text:  

TNT-KID: Transformer-based neural tagger for keyword identification
Matej Martinc, Blaž Škrlj, Senja Pollak
409-448

Automated evaluation of the quality of ideas in compositions based on concept
maps
Li-Ping Yang, Tao Xin, Fang Luo, Sheng Zhang, Xue-Tao Tian
449-486

Automatic question generation based on sentence structure analysis using
machine learning approach
Miroslav Blšták, Viera Rozinajová
487-517

Emerging trends: General fine-tuning (gft)
Kenneth Church, Xingyu Cai, Yibiao Ying, Zeyu Chen, Guangxu Xun, Yuchen Bian
519-535

Overcoming Challenges in Corpus Construction: The Spoken British National
Corpus 2014, by Robbie Love. New York: Routledge, 2020. ISBN
978-1-138-36737-1, xviii + 202 pages
Siqi Liu
537-540

Machine Learning for Text, by Charu C. Aggarwal, New York, Springer, 2018.
ISBN 9783319735306. XXIII + 493 pages.
Xiaolei Lu
541-543

NLE volume 28 issue 4 Cover and Back matter
b1-b2

NLE volume 28 issue 4 Cover and Front matter
f1-f2
 





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