Natural Language Processing and Information Systems; 27th International Conference on Applications of Natural Language to Information Systems, NLDB 2022, Valencia, Spain, June 15–17, 2022, Proceedings

Book


Rosso, P., Basile, V., Martínez, R., Métais, E. and Meziane, F. (ed.) 2022. Natural Language Processing and Information Systems; 27th International Conference on Applications of Natural Language to Information Systems, NLDB 2022, Valencia, Spain, June 15–17, 2022, Proceedings. Switzerland Springer.
EditorsRosso, P., Basile, V., Martínez, R., Métais, E. and Meziane, F.
Abstract

This volume contains the papers presented at NLDB 2022, the 27th International Conference on Applications of Natural Language to Information Systems held during June 15–17, 2022, as a hybrid conference at the Universitat Politècnica de València, Spain. We received 106 submissions for the conference. Each paper was assigned to at least three reviewers, taking into account preferences expressed by the Program Committee members as much as possible. After the review deadline, Program Committee members were asked to complete missing reviews. In addition, the Program Committee
and the General Chairs acted as meta-reviewers, completing missing reviews, writing additional reviews for borderline papers, and acting as moderators for submissions with
considerably conflicting reviews. At the end of the process, each paper had received at least three reviews. On the basis of these reviews, the Program Chairs decided to accept papers with an average score of approximately 0.5 or above as full papers and papers with a slightly lower score as short papers. The confidence score indicated by the reviewers played a role in deciding borderline cases, as well as the content of the reviews and the topic of the papers with respect to the conference scope. The final acceptance
rate counting the number of full papers according to NLDB tradition was 26 percent (28 out of 106), similarly competitive in comparison to previous years. In addition, 20
submissions were accepted as short papers. For the first time, and in line with most leading conferences, an industry track was created, and submissions were sought. Among
those acceptances, six long papers and one short paper were from the industry track. Full papers were allowed a maximum of 12 pages and short papers a maximum of 8 pages.
Two papers were withdrawn during the revision process. In addition to the reviewed papers, there were three invited talks at NLDB 2022:
– Eneko Agirre, University of the Basque Country/HiTZ Centre on Language Technology
– Lucie Flek, University of Marburg
– Ramit Sawhney, Tower Research Capital (Industry Keynote)

The NLDB conference, now a well-established conference, attracted submissions and participants from all over the world. The conference has evolved from the early years
when most of the submitted papers were in the areas of natural language, databases, and information systems to encompass more recent developments in the data and language engineering fields. The content of the current proceedings reflects these advancements. The conference organizers are indebted to the reviewers for their engagement in a vigorous submission evaluation process, as well as to the sponsors: Symanto, AI Zwei, and Google Research.

Keywordsinformation systems; data and language engineering
ISBN9783031084720
ISSN0302-9743
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-031-08473-7
Web address (URL)https://link.springer.com/book/10.1007/978-3-031-08473-7
Output statusPublished
Publication dates
OnlineJun 2022
Publication process dates
Deposited22 Sep 2022
Year2022
PublisherSpringer
Place of publicationSwitzerland
SeriesLecture Notes in Computer Science
Permalink -

https://repository.derby.ac.uk/item/994vz/natural-language-processing-and-information-systems-27th-international-conference-on-applications-of-natural-language-to-information-systems-nldb-2022-valencia-spain-june-15-17-2022-proceedings

  • 101
    total views
  • 0
    total downloads
  • 0
    views this month
  • 0
    downloads this month

Export as