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When Oct 14, 2020 - Oct 16, 2020
Where Cardiff, United Kingdom
Submission Deadline Jun 1, 2020
Notification Due Jul 6, 2020
Final Version Due Jul 15, 2020
Categories    NLP

Call For Papers

SLSP 2020

Cardiff, United Kingdom
October 14-16, 2020

Co-organized by:

School of Computer Science and Informatics
Cardiff University

Data Innovation Research Institute
Cardiff University

Institute for Research Development, Training and Advice (IRDTA), Brussels/London

SLSP is a yearly conference series aimed at promoting and displaying
excellent research on the wide spectrum of statistical methods that
are currently in use in computational language or speech
processing. It aims at attracting contributions from both
fields. Though there exist large conferences and workshops hosting
contributions to any of these areas, SLSP is a more focused meeting
where synergies between the two domains will hopefully happen. In SLSP
2020, significant room will be reserved to young scholars at the
beginning of their career and particular focus will be put on

Previous events took place in Tarragona, Grenoble, Budapest, Pilsen,
Le Mans, Mons, and Ljubljana.

SLSP 2020 will take place in Cardiff, the capital of Wales and its
political, commercial and cultural centre. The venue will be:

Council Chamber
Glamorgan Building
King Edward VII Ave
Cathays Park
CF10 3WT

The conference invites submissions discussing the employment of
statistical models (including machine learning) within language and
speech processing. Topics of either theoretical or applied interest
include, but are not limited to:

Anaphora and coreference resolution
Audio event detection
Authorship identification, plagiarism, and spam filtering
Biases, explainability and interpretability in language and speech processing
Corpora and resources for speech and language
Data mining, term extraction, and semantic web
Dialogue systems and spoken language understanding
Information retrieval and information extraction
Knowledge representation and ontologies
Lexicons and dictionaries
Machine translation and computer-aided translation
Multimodal technologies
Natural language understanding and generation
Neural representation of speech and language
Opinion mining and sentiment analysis
Part-of-speech tagging, parsing, and semantic role labelling
Question-answering systems for speech and text
Speaker identification and verification
Speech recognition and synthesis
Spelling correction
Text categorization and summarization
Text normalization and inverted text normalization
User modeling
Wake word detection


SLSP 2020 will consist of:

invited lectures
peer-reviewed contributions

Keynote speakers (to be completed)

John H.L. Hansen (University of Texas, Dallas), Challenges and
Advancements in Speaker Diarization & Recognition for Naturalistic
Data Streams

Mark A. Hasegawa-Johnson (University of Illinois, Urbana-Champaign),
Automatic Discovery of Phoneme Inventories for Speech Technology in
Under-resourced Languages

Programme committee

Mahmoud Al-Ayyoub (Jordan University of Science and Technology, JO)
Chitta Baral (Arizona State University, US)
Jon Barker (University of Sheffield, UK)
Jean-François Bonastre (University of Avignon, FR)
Fethi Bougares (University of Le Mans, FR)
Felix Burkhardt (audEERING, DE)
Nicoletta Calzolari (National Research Council, IT)
Bill Campbell (Amazon, US)
Angel Chang (Simon Fraser University, CA)
Kenneth W. Church (Baidu Research, US)
Philipp Cimiano (Bielefeld University, DE)
Carol Espy-Wilson (University of Maryland, US)
Nikos Fakotakis (University of Patras, GR)
Marcello Federico (Amazon AI, US)
Robert Gaizauskas (University of Sheffield, UK)
Ondřej Glembek (Brno University of Technology, CZ)
Ralph Grishman (New York University, US)
Thomas Hain (University of Sheffield, UK)
Gareth Jones (Dublin City University, IE)
Martin Karafiát (Brno University of Technology, CZ)
Philipp Koehn (Johns Hopkins University, US)
Haizhou Li (National University of Singapore, SG)
Carlos Martín-Vide (Rovira i Virgili University, ES, chair)
Seiichi Nakagawa (Chubu University, JP)
Fuchun Peng (Facebook, US)
Stephen Pulman (University of Oxford, UK)
Matthew Purver (Queen Mary University of London, UK)
Paolo Rosso (Technical University of Valencia, ES)
Diana Santos (University of Oslo, NO)
Irena Spasić (Cardiff University, UK)
Tomek Strzalkowski (Rensselaer Polytechnic Institute, US)
Erik Tjong Kim Sang (Netherlands eScience Center, NL)
Tomoki Toda (Nagoya University, JP)
Isabel Trancoso (Instituto Superior Técnico, PT)
K. Vijay-Shanker (University of Delaware, US)
Hsin-Min Wang (Academia Sinica, TW)
Andy Way (Dublin City University, IE)
Caiming Xiong (Salesforce, US)
Steve Young (University of Cambridge, UK)
Wlodek Zadrozny (University of North Carolina Charlotte, US)
Guodong Zhou (Soochow University, CN)

Organizing committee

Luis Espinosa-Anke (Cardiff)
Sara Morales (Brussels)
Manuel Parra-Royón (Granada)
David Silva (London, co-chair)
Irena Spasić (Cardiff, co-chair)

Authors are invited to submit non-anonymized papers in English
presenting original and unpublished research. Papers should not exceed
12 single-spaced pages (all included) and should be prepared according
to the standard format for Springer Verlag's LNCS series (see

Upload submissions to:

A volume of proceedings published by Springer in the LNCS/LNAI series
will be available by the time of the conference.

A special issue of a major journal will be later published containing
peer-reviewed substantially extended versions of some of the papers
contributed to the conference. Submissions to it will be by

The registration form can be found at:

Deadlines (all at 23:59 CET)
Paper submission: June 1, 2020
Notification of paper acceptance or rejection: July 6, 2020
Final version of the paper for the LNCS/LNAI proceedings: July 15, 2020
Early registration: July 15, 2020
Late registration: September 30, 2020
Submission to the journal special issue: January 16, 2021

Questions and further information
david (at)

School of Computer Science and Informatics, Cardiff University / Prifysgol Caerdydd
Data Innovation Research Institute, Cardiff University / Prifysgol Caerdydd
IRDTA – Institute for Research Development, Training and Advice, Brussels/London

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