33.2728, Calls: Disc Analysis, Comp Ling, Text/Corpus Ling, Gen Ling, Ling Theories/United Arab Emirates

[The LINGUIST List]

LINGUIST List: Vol-33-2728. Thu Sep 08 2022. ISSN: 1069 - 4875.

Subject: 33.2728, Calls: Disc Analysis, Comp Ling, Text/Corpus Ling, Gen Ling, Ling Theories/United Arab Emirates

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Date: Thu, 08 Sep 2022 06:46:35
From: Wei Xu [wei.xu at cc.gatech.edu]
Subject: EMNLP Workshop on Text Simplification, Accessibility, and Readability

 
Full Title: EMNLP Workshop on Text Simplification, Accessibility, and Readability 
Short Title: TSAR at EMNLP 

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): Computational Linguistics; Discourse Analysis; General Linguistics; Linguistic Theories; Text/Corpus Linguistics 

Call Deadline: 13-Sep-2022 

Meeting Description:

The web provides an abundance of knowledge and information that can reach
large populations. However, the way in which a text is written (vocabulary,
syntax, or text organization/structure), or presented, can make it
inaccessible for many people, especially for non-native speakers, people with
low literacy, and people with some type of cognitive or linguistic
impairments. The results of the Adult Literacy Survey (OECD, 2013) indicate
that approximately 16.7% of the adult population (averaged over 24
highly-developed countries) requires lexical, 50% syntactic, and 89.4%
conceptual simplification of everyday texts (Štajner, 2021).

Research on automatic text simplification (TS), textual accessibility, and
readability have the potential to improve the social inclusion of marginalized
populations. These related research areas have attracted attention in the past
ten years, as 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 the 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 proposed TSAR workshop builds upon the recent success of several regional
workshops that covered a subset of our topics of interest, including READI
Workshops at LREC 2022 and LREC 2022, SEPLN 2021 Workshop on Current Trends in
Text Simplification (CTTS), and the SimpleText workshop at CLEF 2021, as well
as the birds-of-a-feather events on Text Simplification at NAACL 2021 (over 50
participants) and ACL 2022.

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.


2nd Call for Papers:

Deadline extended to 13 September, 2022.

Submissions

We welcome two types of papers: long papers and short papers. Submissions
should be made to the Softconf submission management system:
https://softconf.com/emnlp2022/tsar. The papers should present novel research.
The review will be double blind and thus all submissions should be anonymized.

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

Full CfP:
https://taln.upf.edu/pages/tsar2022-ws/#call




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