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LAW-XVI 2022 : The Sixteenth Linguistic Annotation Workshop


When Jun 24, 2022 - Jun 24, 2022
Where Marseille, France
Submission Deadline Apr 15, 2022
Notification Due May 2, 2022
Final Version Due May 23, 2022
Categories    corpora   annotation   linguistics   NLP

Call For Papers

Co-located with LREC, 24 June 2022, Marseille, France
Second Call for Papers

1 Introduction

Linguistic annotation of natural language corpora is the backbone of
supervised methods of statistical natural language processing, as well
as other types of corpus-based research.

The Sixteenth LAW (LAW XVI) will provide a forum for presentation and
discussion of innovative research on all aspects of linguistic
annotation, including creation/evaluation of annotation schemes,
methods for automatic and manual annotation, use and evaluation of
annotation software and frameworks, representation of linguistic data
and annotations, etc.

As in the past, the LAW will provide a forum for annotation
researchers to work towards standardization, best practices, and
interoperability of annotation information and software.

We invite submissions of long (8 pages) and short (4 pages) papers,
posters, and demonstrations relating to any aspect of the linguistic
annotation, including but not limited to:

1.1 Annotation procedures

* Innovative automated and manual strategies for annotation
* Machine learning and knowledge-based methods for automation of
corpus annotation
* Creation, maintenance, and interactive exploration of annotation
structures and annotated data

1.2 Annotation evaluation

* Inter-annotator agreement and other evaluation metrics and
* Qualitative evaluation of linguistic representation

1.3 Annotation access and use

* Representation formats/structures for merged annotations of
different phenomena, and means to explore/manipulate them
* Linguistic considerations for merging annotations of distinct

1.4 Annotation guidelines and standards

* Best practices for annotation procedures
* Development and documentation of annotation schemes
* Interoperability of annotation formats and/or frameworks among
different systems as well as different tasks, frameworks,
modalities, and languages

1.5 Annotation software and frameworks

* Development, evaluation and/or innovative use of annotation software

1.6 Annotation schemes

* New and innovative annotation schemes
* Comparison of annotation schemes

2 Special theme for LAW XVI

The special theme for LAW (XVI) is "The Impact of Multimodal Language
Understanding on Annotation Practices and Representations."

Recent years have seen rapid improvements in performance of machine
learning models across multiple modalities of communication such as
text, speech, images, video, gestures, etc. Improvements in
unsupervised representation and learning have resulted in state of
the art models needing less manually annotated data for training.

However, the need for high quality, manual annotations for capturing
and integrating multiple layers of information surrogates across
various signals, including linguistic, is unlikely to go away. On
the contrary, annotation practices, guidelines and representations
will need to be adapted, extended, to address the challenges brought
about by a richer landscape of phenomena.

Historically these communities have existed as separate islands, and
have crafted solutions that satisfy local research and application
needs. The evolution of next generation, situated language
understanding systems is likely to create a greater demand on the
availability, and ease of use of such multimodal annotations and
frameworks. We solicit papers addressing the gamut of issues brought
into light by this emerging area of research.

Articles can range from those analyzing the state of existing
representations, approaches, methods, etc. to those providing ideas,
or full-fledged solutions to tools and/or models which could
facilitate the integration and search over data and annotations
spanning multiple modalities.

3 Identify, Describe and Share your LRs!

Describing your LRs in the LRE Map is now a normal practice in the
submission procedure of LREC (introduced in 2010 and adopted by other
conferences). To continue the efforts initiated at LREC 2014 about
“Sharing LRs” (data, tools, web-services, etc.), authors will have the
possibility, when submitting a paper, to upload LRs in a special LREC
repository. This effort of sharing LRs, linked to the LRE Map for
their description, may become a new “regular” feature for conferences
in our field, thus contributing to creating a common repository where
everyone can deposit and share data. As scientific work requires
accurate citations of referenced work so as to allow the community to
understand the whole context and also replicate the experiments
conducted by other researchers, LREC 2022 endorses the need to
uniquely Identify LRs through the use of the International Standard
Language Resource Number (ISLRN,, a Persistent Unique
Identifier to be assigned to each Language Resource. The assignment of
ISLRNs to LRs cited in LREC papers will be offered at submission time.

4 Important Dates

April 15, 2022 -- Papers Due (EXTENDED)
May 2, 2022 -- Notification of acceptance
May 23, 2022 -- Camera ready final version due
June 24, 2022 -- LAW Workshop, Marseille, France

5 Submissions

Long paper submissions are limited to 8 pages in length plus
references. Short papers, posters and demo descriptions are limited
to 4 pages plus references. Format requirements are the same as for
full papers of LREC 2022 for guidelines and style files.

Submissions should be made at the LAW-XVI portal

6 Reviewing

The reviewing of the papers will be double blind. The paper should
not include the authors' names and affiliations. Furthermore,
self-citations and other references (e.g. to projects, corpora, or
software) that could reveal the author's identity should be
avoided. For example, instead of "We previously showed (Smith, 1991)
…", write "Smith previously showed (Smith, 1991) …".

7 Organizers

Sameer Pradhan (University of Pennsylvania and, USA)
Sandra Kübler (Indiana University, USA)
Ines Rehbein (University of Mannheim, Germany)
Amir Zeldes (Georgetown University, USA)

8 Program Committee Members

Omri Abend (Hebrew University, Israel)
Ron Artstein (University of Southern California, USA)
Emmanuele Chersoni (Hong Kong Polytechnic University)
Jonathan Dunn (University of Canterbury, New Zealand)
Kilian Evang (Heinrich-Heine University Düsseldorf, Germany)
Annemarie Friedrich (Bosch, Germany)
Kim Gerdes (Université Paris-Saclay, France)
Chu-Ren Huang (Hong Kong Polytechnic University)
Jena D. Hwang (Allen Institute for AI, USA)
Nancy Ide (Vassar College, USA)
Mikel Iruskieta (University of the Basque Country)
John Lee (City University of Hong Kong)
Els Lefever (Ghent University, Belgium)
Lori Levin (Carnegie Mellon University, USA)
Adam Meyers (New York University, USA)
Jiří Mírovský (Charles University, Czech Republic)
Philippe Muller (Institut de Recherche en Informatique de Toulouse, France)
Kemal Oflazer (Carnegie Mellon University, Qatar)
Maciej Ogrodniczuk (Polish Academy of Sciences, Poland)
Lilja Øvrelid (University of Oslo, Norway)
Antonio Pareja-Lora (Universidad de Alcalá de Henares, Spain)
Miriam R.L. Petruck (ICSI, USA)
Massimo Poesio (Queen Mary University of London, UK)
Michael Roth (University of Stuttgart, Germany)
Nathan Schneider (Georgetown University, USA)
Djamé Seddah (University Paris Sorbonne, France)
Manfred Stede (University of Potsdam, Germany)
Katrin Tomanek (Google Research, USA)
Bonnie Webber (University of Edinburgh, USA)
Michael Wiegand (Alpen-Adria-Universität Klagenfurt, Austria)
Fei Xia (University of Washington, USA)
Nianwen Xue (Brandeis University, USA)
Deniz Zeyrek (Middle East Technical University, Turkey)
Heike Zinsmeister (University of Hamburg, Germany)

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