33.2477, Calls: Applied Linguistics, Computational Linguistics, Text/Corpus Linguistics/United Arab Emirates

Sat Aug 13 23:08:49 UTC 2022

LINGUIST List: Vol-33-2477. Sat Aug 13 2022. ISSN: 1069 - 4875.

Subject: 33.2477, Calls: Applied Linguistics, Computational Linguistics, Text/Corpus Linguistics/United Arab Emirates

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Date: Sat, 13 Aug 2022 23:06:49
From: Marcos Zampieri [mazgla at rit.edu]
Subject: Workshop on Text Simplification, Accessibility, and Readability

Full Title: Workshop on Text Simplification, Accessibility, and Readability 
Short Title: TSAR-2022 

Date: 08-Dec-2022 - 08-Dec-2022
Location: Abu Dhabi, United Arab Emirates 
Contact Person: Horacio Saggion
Meeting Email: horacio.saggion at upf.edu
Web Site: https://taln.upf.edu/pages/tsar2022-ws 

Linguistic Field(s): Applied Linguistics; Computational Linguistics; Text/Corpus Linguistics 

Call Deadline: 07-Sep-2022 

Meeting Description:

Workshop on Text Simplification, Accessibility, and Readability at EMNLP 2022

Call for Papers:

Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022) -
Workshop and Shared Task at EMNLP 2022

Research on automatic text simplification (TS), textual accessibility, and
readability have the potential to improve social inclusion of marginalized
populations. These related research areas have attracted attention in the past
ten years, evidenced by the growing number of publications in NLP conferences.
While only about 300 articles in Google Scholar mentioned TS in 2010, this
number has increased to about 600 in 2015 and greater than 1000 in 2020
(Štajner, 2021). Recent research in automatic text simplification has mostly
focused on proposing the use of methods derived from the deep learning
paradigm (Glavaš and Štajner, 2015; Paetzold and Specia, 2016; Nisioi et al.,
2017; Zhang and Lapata, 2017; Martin et al., 2020; Maddela et al., 2021;
Sheang and Saggion, 2021). However, there are many important aspects of
automatic text simplification that need the attention of our community: the
design of appropriate evaluation metrics, the development of context-aware
simplification solutions, the creation of appropriate language resources to
support research and evaluation, the deployment of simplification in real
environments for real users, the study of discourse factors in text
simplification, the identification of factors affecting the readability of a
text, etc. To overcome those issues, there is a need for collaboration of
CL/NLP researchers, machine learning and deep learning researchers, UI/UX and
Accessibility professionals, as well as public organizations representatives
(Štajner, 2021). 

The TSAR workshop aims to foster collaboration among all parties interested in
making information more accessible to all people. Through the two invited
talks, a shared task on lexical simplification, the round table discussion,
oral and poster presentations of novel research, we will discuss recent trends
and developments in the area of automatic text simplification, text
accessibility, automatic readability assessment, language resources and
evaluation for text simplification, etc.

Topics:

We invite contributions on the following topics (among others):  
Lexical simplification;
Syntactic simplification;
Modular and end-to-end TS;
Sequence-to-sequence and zero-shot TS;
Controllable TS;
Text complexity assessment;
Complex word identification and lexical complexity prediction;
Corpora, lexical resources, and benchmarks for TS;
Evaluation of TS systems;
Domain specific/adaptable TS (e.g. health, legal);
Other related topics (e.g. empirical and eye-tracking studies);
Assistive technologies for improving readability and comprehension including
those going beyond text.
Text Simplification in Languages other than English
Multilingual TS
Readability Controlled MT

Important Dates:

7 September 2022: Workshop paper submission deadline (Softconf)
2 October 2022: Workshop paper notification deadline
16 October 2022: Workshop paper camera ready deadline
8 December 2022: Workshop

Organizers:

Sanja Štajner, NLP Researcher, Germany
Horacio Saggion, Chair in Computer Science and Artificial Intelligence and
Head of the LaSTUS Lab in the TALN-DTIC, Universitat Pompeu Fabra
Wei Xu, Assistant Professor at School of Interactive Computing, Georgia
Institute of Technology
Marcos Zampieri, Assistant Professor at the Rochester Institute of Technology
Matthew Shardlow, Senior Lecturer at Manchester Metropolitan University
Daniel Ferrés, Post-Doctoral Research Assistant at LaSTUS Lab. at TALN-DTIC,
Universitat Pompeu Fabra
Kai North, Ph.D. student at the Rochester Institute of Technology
Kim Cheng Sheang, PhD student at LaSTUS Lab. at TALN-DTIC, Universitat Pompeu
Fabra

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