Second call for papers DiSLiDaS 2023 collocated with LDK2023

Second call for papers

Workshop _Discourse studies and linguistic data science: Addressing 
challenges in interoperability, multilinguality and linguistic data 
processing_ - DiSLiDaS 2023

University of Vienna, Vienna, Austria

12-13 September 2023 (TBA)


The fourth biennial conference on Language, Data and Knowledge (LDK 
2023) ( and Cost Action CA18209 
_NexusLinguarum_ ( are glad to announce the 
second workshop _Discourse studies and linguistic data science: 
Addressing challenges in interoperability, multilinguality and 
linguistic data processing_ - DiSLiDaS 2023.

Conference aims and topics

The workshop aims to follow through the topics discussed during DiSLiDaS 
2022 ( and to gather current 
research advances in discourse analysis and representation, in the 
context of multilinguality, from a linguistic and computational 
perspective. We invite submissions addressing challenges such as 
interoperability, linguistic linked open data (LLOD), and language 
processing and analysis.

The workshop topics are the following (but not limited to):

   * Discourse and dialogue annotation: Parsing and representation across 
languages and frameworks
   * Discourse markers and discourse relations (RST, PDTB, SDRT): 
Identification, prediction and extraction
   * Attitudes discovery and interpretation in Discourse: Appraisal and 
   * Effects of multimodality on discourse interpretation: Intonation, 
gesture and text
   * Interoperability for Multilingual language data: Challenges of rich 
and distributed data
   * Discourse data and machine learning: Methods and tools

Discourse comprises a wide variety of linguistic phenomena, such as 
discourse markers, discourse relations, and speaker attitude, which have 
been largely studied by different communities of practice from 
Linguistics and Computation, rendering several theoretical frameworks 
(for instance, RST, SDRT, PDTB, for discourse relations; appraisal 
theory for sentiment analysis,...), and technological approaches, such 
as transformer models, embeddings and alike. Nonetheless, there are open 
issues concerning interoperability, multilinguality, and language 
processing, in particular, the existence of different annotation 
schemas, disambiguation, lack of training data for machine learning, 
scarcity of effective language phenomena detection and interpretation 
methods, diverse vocabularies, insufficient multilingual parallel 
corpora of non-dialogue and dialogue, initial stages of exploration of 

Discourse research is one of the central research areas of natural 
language processing (NLP) too. NLP research focuses on the 
formalisation, identification and discovery of semantic phenomena, 
dialogue exchange structure, and text coherence. Some of the 
technological approaches of NLP include the use of transformer models, 
word embeddings, linguistic linked open data, the constitution of 
aligned multilingual corpora, vocabularies of language phenomena and 
alike. Computational discourse explores the evidence that language 
consists not only of placing words in the right order but also of 
detecting and interpreting the meaning and deeper textual relations and 
organising ideas into a logical flow. The linguistic approaches study 
language phenomena referring to coherence and cohesiveness of discourse, 
lexical, phrasal, syntactic, semantic and pragmatic means to express 
discourse relations, represent their roles and build language resources 
for them.

Despite all the advances, there are still plenty of unresolved problems 
related to interoperability, multilinguality, and language processing. 
With the growth of the Semantic Web and Linguistic Linked Data, 
interoperability is key to reading, interpreting and adopting language 
resources. The existence of different annotation schemas to encode 
discourse relations constitutes a problem for data exchange and reuse 
and for theoretical consistency. The treatment of multilinguality is 
also complicated because of the insufficiency of multilingual parallel 
corpora of collections of non-dialogue and dialogue texts, which would 
allow systematic contrastive studies. As to language processing, the 
lack of training data for machine learning, coupled with the scarcity of 
effective language phenomena detection and interpretation methods, the 
coexistence of diverse vocabularies, and the minimal attention to the 
contribution of the tone of voice, intonation, gestures to the meaning 
and the informative value of discourse elements make the task of 
discourse processing still very challenging.

The workshop intends to be a discussion forum for researchers interested 
in addressing the aforementioned challenges and advancing the 
state-of-art in discourse studies and linguistic data science.


The Scientific Programme will include one invited talk and oral 

Invited Speaker

Johan Bos, University of Groningen


Submissions can be in the form of:

   * long papers: 9-12 pages;
   * short papers: 4-6 pages.

All submission lengths are given including references. Accepted 
submissions will be published by ACL in an open-access conference 
proceedings volume, free of charge for authors. The ACL templates [1] 
should therefore be used for all conference submissions. As the 
reviewing process is single-blind, submissions should not be anonymised.

The workshop will be hybrid (face-to-face and remote). Note that at 
least one author of each accepted paper must register to present the 
paper at the workshop (either remotely or on-site). There will be no 
registration fee administered for participating in DiSLiDaS 2023.

Submissions must be submitted electronically via _EasyChair_:

Important dates

Time Zone: Anywhere on Earth

Papers due: May, 19, 2023

Papers acceptance notifications: June, 16, 2023

Camera-ready papers due: June, 30, 2023

Programme Committee

Elena-Simona Apostol, University Politehnica of Bucharest, Romania

Harry Bunt, Tilburg University, Netherlands

Maria Josep Cuenca, Universitat de València

Debopam Das, Humboldt University of Berlin, Germany

Jorge Garcia, University of Zaragoza, Spain

Mikel Iruskieta, University of the Basque Country, Spain

António Leal, University of Porto, Portugal

Chaya Liebeskind, Jerusalem College of Technology, Israel

Amália Mendes, University of Lisbon, Portugal

Maciej Ogrodniczuk, Polish Academy of Sciences, Poland

Giedre Valunaite Oleskevicienė, Mykolas Romeris University, Lithuanian

Georg Rehm, DFKI GmbH, Germany

Ted Sanders, Utrecht University, Netherlands

Merel Scholman, University of Saarland, Germany

Dimitar Trajanov, Ss. Cyril and Methodius University, North Macedonia

Radoslava Trnavac, University of Belgrade, Serbia

Ciprian-Octavian Truica, University Politehnica of Bucharest, Romania

Amir Zeldes, The Georgetown University, USA

Organising Committee

Purificação Silvano, University of Porto, Portugal

Mariana Damova, Mozaika, Ltd., Bulgaria

Christian Chiarcos, Goethe-Universität, Germany

Anna Bączkowska, University of Gdansk, Poland


    Mariana Damova, PhD | CEO

company: Mozajka Ltd
web: [2]
mobile: +359 885 796530 | twitter: @damom7                    linkedin:


Received on Thursday, 11 May 2023 09:02:15 UTC